CN106446873A - Face detection method and device - Google Patents
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- CN106446873A CN106446873A CN201610972629.1A CN201610972629A CN106446873A CN 106446873 A CN106446873 A CN 106446873A CN 201610972629 A CN201610972629 A CN 201610972629A CN 106446873 A CN106446873 A CN 106446873A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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Abstract
The invention discloses a face detection method and a device. The face detection method comprises an infrared image of a target object acquired by an infrared image sensor; a coordinate region of the human body contour of the target object is extracted from the infrared image; based on the coordinate region, a visible light image sensor is controlled to finish a local exposure of the human body contour, so the exposure of at least a part of the area of the human body contour including the facial area is larger than the exposure of the other areas in the image acquisition range; the local exposure and a collection of a locally exposed visible light image of the target object are finished at the same time; the face detection is applied to the visible light image. According to the face detection method, problems such as slowdowns in performance of the face detection and missing detections in the dark environment are solved effectively. The device has similar advantages.
Description
Technical field
The present invention relates to image identification technical field, more particularly, to one kind can improve half-light environment human face detection performance
Method for detecting human face and device.
Background technology
With expanding economy, advancing by leaps and bounds of the quickening of city-building speed, and the Internet, lead to population in city close
Collection, recurrent population increases, and has caused the traffic in urban construction, social security, key area is taken precautions against, the network crime becomes increasingly conspicuous
Deng city management problem, therefore video monitoring system is increasingly widely applied, and how to make collection image comprise high-quality
Facial image become research emphasis.
In current image acquisition, subject matter is the dark images gathering under dark environment and obscures, unfavorable
In human face detection and recognition.At present in dark environment, in order to improve picture quality, with the raising Face datection of equipment
Can, mainly it is realized by the following method:One, adjust the digital gain of AE (automatic exposure), the mould of ISP (image-signal processor)
Intend gain, BLC, the image quality parameter such as parameter and brightness, contrast such as wide dynamic, to improve picture quality, but this
During the defect of kind of method, light also is difficult to detect face when too dark;Two, adopt additional light compensating lamp on the basis of method one
Mode carries out light filling, the defect of this method be light compensating lamp be not directed at face and face with background image similar brightness when easily leak
Inspection.
Accordingly, it is desirable to provide a kind of method for detecting human face and device, to solve issue noted above at least in part.
Content of the invention
Introduce a series of concept of reduced forms in Summary, this will specific embodiment partly in enter one
Step describes in detail.The Summary of the present invention is not meant to the pass attempting to limit technical scheme required for protection
Key feature and essential features, more do not mean that the protection domain attempting to determine technical scheme required for protection.
In order to solve the above problems at least in part, the invention provides a kind of method for detecting human face, including:By infrared
Imageing sensor obtains the infrared image of destination object;The human body contour outline of described destination object is extracted from described infrared image
Coordinates regional;Visible light image sensor is controlled to carry out partial exposure to described human body contour outline based on described coordinates regional, so that
The light exposure at least a portion region of inclusion facial zone obtaining described human body contour outline is than other areas in image-capture field
The light exposure in domain is big;The visible images of the described destination object through partial exposure for collection while described partial exposure;Right
Described visible images carry out Face datection.
Exemplarily, the coordinates regional bag of the described human body contour outline extracting described destination object from described infrared image
Include:Coordinate figure in described infrared image for the heat radiation point that acquisition infrared image sensor senses;By described infrared image
Described in heat radiation point the corresponding pixel value of coordinate be labeled as 1 and pixel value is 1 region as in described infrared image
Human body contour outline;Extract the coordinates regional of described facial contour.
Exemplarily, described based on described coordinates regional control visible light image sensor office is carried out to described human body contour outline
Portion's exposure includes:Based on coordinate transform amount, described coordinates regional is transformed to the coordinates regional of described visible light image sensor;
Coordinates regional according to described visible light image sensor controls described visible light image sensor to carry out partial exposure.
Exemplarily, methods described also includes the infrared image based on goal-selling and visible images acquisition coordinate transform
Amount, the wherein said step obtaining coordinate transform amount includes:In described visible light image sensor and infrared image sensor
A blank sheet of paper is placed in angular field of view, and four stains of four corner mark in blank sheet of paper;By described visible light image sensor
Obtain a secondary image including described blank sheet of paper with infrared image sensor respectively;In described visible light image sensor and infrared figure
Find out described stain and its coordinate as in the image of the described blank sheet of paper of inclusion of sensor acquisition;By stain described in two width images
Coordinate obtain described coordinate transform amount, wherein, the back side of each described stain apply thermal source.
Exemplarily, described based on described coordinates regional control visible light image sensor office is carried out to described human body contour outline
Portion's exposure includes:The photosensitive region of described visible light image sensor is divided into multiple blocks;Arrange different for each block
Exposure weighted value, wherein said human body contour outline inclusion facial zone the block corresponding at least a portion region weight
Value is higher than the exposure weighted value of other blocks;Weighted value according to each block controls described visible light image sensor to be exposed
Light simultaneously gathers the visible images of exposed described destination object.
According to another aspect of the present invention, additionally provide a kind of human face detection device, it includes:Infrared image obtains mould
Block, described infrared image acquisition module is used for obtaining the infrared image of destination object;Profile extraction module, described contours extract mould
Block is used for extracting the coordinates regional of the human body contour outline of described destination object from described infrared image;Partial exposure module, described
Partial exposure module is used for controlling visible light image sensor described human body contour outline to be carried out locally expose based on described coordinates regional
Light is so that the light exposure at least a portion region of inclusion facial zone of described human body contour outline is than in image-capture field
The light exposure in other regions is big;Visible images acquisition module, described visible images acquisition module is used for exposing in described local
The visible images of the described destination object through partial exposure for collection while light;Face detection module, described Face datection mould
Block is used for carrying out Face datection to described visible images.
Exemplarily, described profile extraction module includes:Coordinate acquisition submodule, described coordinate acquisition submodule is used for obtaining
Take coordinate figure in described infrared image for the heat radiation point that infrared image sensor senses;Element marking submodule, described
Element marking submodule is used for for the corresponding pixel value of coordinate of heat radiation point described in described infrared image being labeled as 1 and by picture
The region for 1 for the element value is as the human body contour outline in described infrared image;Coordinate extracting sub-module, described coordinate extracting sub-module is used
In the coordinates regional extracting described facial contour.
Exemplarily, described partial exposure module includes:Region division submodule, described region division submodule is used for will
The photosensitive region of described visible light image sensor is divided into multiple blocks;Weight arranges submodule, and described weight arranges submodule
Block is used for as each block different exposure weighted values of setting, at least one of the inclusion facial zone of wherein said human body contour outline
The weighted value of the block corresponding to subregion is higher than the exposure weighted value of other blocks;Spectrum assignment submodule, described exposure control
The weighted value that system module is used for according to each block controls described visible light image sensor to be exposed.
Exemplarily, described partial exposure module also includes coordinate transform submodule, for based on coordinate transform amount by institute
State the coordinates regional that coordinates regional is transformed to described visible light image sensor.
Exemplarily, described profile extraction module, described partial exposure module and described face detection module are by same
Processor is realized.
Human face detection device according to the present invention according to the method for detecting human face of the present invention and device, by sensing human body
Heat radiation simultaneously forms infrared image, then extracts the coordinates regional of human body contour outline from infrared image, and human body contour outline is changed
For the coordinates regional of human body contour outline in visible light image sensor, and visible light image sensor is controlled to carry out office to human body contour outline
Portion exposes, thus strengthening at least the one of the inclusion facial zone of human body contour outline described in the image that visible light image sensor gathers
The brightness of subregion, so when the image that visible light image sensor is gathered carries out human face detection and recognition, accuracy
To be substantially improved with performance, efficiently solve the problems, such as dark environment human face detection hydraulic performance decline and easy missing inspection.
Brief description
The drawings below of the embodiment of the present invention is used for understanding the present invention in this as the part of the present invention.Shown in accompanying drawing
Embodiments of the invention and its description, for explaining the principle of the present invention.In the accompanying drawings,
Fig. 1 is for realizing the method for detecting human face of device according to embodiments of the present invention and device exemplary electronic device
Schematic block diagram;
Fig. 2 is the indicative flowchart of the method for detecting human face according to the embodiment of the present invention;
Fig. 3 is the indicative flowchart according to contour extraction method in the method for detecting human face of the embodiment of the present invention;
Fig. 4 is the indicative flowchart according to local exposure method in the method for detecting human face of the embodiment of the present invention;
Fig. 5 is the schematic block diagram of the human face detection device according to the embodiment of the present invention;
Fig. 6 is the schematic block diagram of the profile extraction module according to the embodiment of the present invention;
Fig. 7 is the schematic block diagram of the partial exposure module according to the embodiment of the present invention;
Fig. 8 is the schematic block diagram of the image detecting apparatus according to the embodiment of the present invention.
Specific embodiment
In the following description, a large amount of concrete details are given to provide more thorough understanding of the invention.So
And, it will be apparent to one skilled in the art that the embodiment of the present invention can one or more of these details
And be carried out.In other examples, in order to avoid obscuring with the embodiment of the present invention, for more well known in the art
Technical characteristic is not described.
It should be appreciated that the present invention can be implemented in different forms, and should not be construed as being limited to propose here
Embodiment.On the contrary, it is open thoroughly and complete to provide these embodiments will make, and will fully convey the scope of the invention to
Those skilled in the art.In the accompanying drawings, in order to clear, the size of part, element etc. and relative size may be exaggerated.Ad initio
Represent identical element to whole same reference numerals.
So that the object, technical solutions and advantages of the present invention become apparent from, describe root below with reference to accompanying drawings in detail
Example embodiment according to the present invention.Obviously, described embodiment is only a part of embodiment of the present invention, rather than this
Bright whole embodiments are not it should be appreciated that the present invention is limited by example embodiment described herein.Described in the present invention
The embodiment of the present invention, the obtained all other embodiment in the case of not paying creative work of those skilled in the art
All should fall under the scope of the present invention.
First, the example for realizing method for detecting human face according to embodiments of the present invention and device to be described with reference to Fig. 1
Electronic equipment 100.
As shown in figure 1, electronic equipment 100 includes one or more processors 102, one or more storage device 104, defeated
Enter/output device 106, communication interface 108 and one or more image-signal processor (ISP) 110, visible images sensing
Device 114 and infrared image sensor 116, these assemblies pass through bus system 112 and/or the bindiny mechanism of other forms (does not show
Go out) interconnection.It should be noted that the assembly of electronic equipment 100 shown in Fig. 1 and structure are illustrative, and not restrictive, root
According to needs, described electronic equipment can also have other assemblies and structure it is also possible to not include aforesaid members, for example may be used
To include communication interface 108 it is also possible to not packet communication interface 108.
Described processor 102 typically represent any types or form can processing data or explain and execute instruction place
Reason unit.In general, processor can be CPU (CPU) or have data-handling capacity and/or instruction hold
The processing unit of the other forms of row ability, and the other assemblies in described electronic equipment 100 can be controlled to execute expectation
Function.In a particular embodiment, processor 102 can receive the instruction from software application or module.These instructions are permissible
Lead to the function of one or more example embodiment that processor 102 completes to be described herein and/or illustrate.
Described storage device 104 can include one or more computer programs, and described computer program can
To include various forms of computer-readable recording mediums, such as volatile memory and/or nonvolatile memory.Described easy
The property lost memorizer for example can include random access memory (RAM) and/or cache memory (cache) etc..Described non-
Volatile memory for example can include read only memory (ROM), hard disk, flash memory etc..In described computer-readable recording medium
On can store one or more computer program instructions, processor 102 can run described program instruction, to realize hereafter institute
The client functionality (realized by processor) in the embodiment of the present invention stated and/or other desired function.In described meter
Various application programs and various data can also be stored in calculation machine readable storage medium storing program for executing, such as described application program using and/or
Various data producing etc..
Described input/output device 106 can be the device for input instruction with to the various information of outside output for the user,
For example input equipment can include one or more of keyboard, mouse, mike and touch screen etc..Output device can include
One or more of display, speaker etc..
Communication interface 108 widely represent any types or form can promote exemplary electronic device 100 and one or
The adapter of the communication between multiple optional equipments or communication equipment.For example, communication interface 108 can promote electronic equipment 100
Communication with front end or accessory electronic device and back-end server or high in the clouds.The example of communication interface 108 includes but is not limited to
Wired network interface (such as NIC), radio network interface (such as wireless network interface card), modem and appoint
What his suitable interface.In one embodiment, communication interface 108 by with the direct-connected offer of the network of such as the Internet to remote
Journey server/remote front-end equipment direct-connected.In a particular embodiment, communication interface 108 by with dedicated network, such as video
The direct-connected offer of the networks such as monitoring network, Skynet system network is direct-connected to remote server/remote front-end equipment.Communication interface
108 can also provide this connection by any other suitable connection indirectly.
Image-signal processor (ISP) 110 is used for controlling visible light image sensor 114 and infrared image sensor 116
Carry out image acquisition, and adjust the digital gain of AE (automatic exposure), analog gain, BLC, the wide parameter such as dynamic and bright
The image quality parameters such as degree, contrast and other specification, with adjusting image quality, and are based on visible light image sensor 114
Generate corresponding visible light exposure image and infrared image with the output signal of infrared image sensor 116, and by such as total
The connection unit of linear system system 112 transmits and carries out subsequent treatment to processor 102.Meanwhile, image-signal processor (ISP) 110
The order from processor 102 or instruction can be accepted, with to visible light image sensor 114 and infrared image sensor 116
It is adjusted controlling.Image-signal processor (ISP) 110 can as needed and visible light image sensor 114 and infrared
The quantity setting of imageing sensor 116 is one or more, and image-signal processor (ISP) 110 can be with processor 102 etc.
Integrated, it is embodied as SOC(system on a chip) (SOC) it is also possible to set up setting, and carried out even by the connection unit of such as bus system 112
Connect.
Visible light image sensor 114 can gather or shoot the desired visible light exposure of user image (such as photo,
Video etc.), and captured image is stored in described storage device 104 so that other assemblies use.Visible images
One example of sensor 114 is RGB sensor, or RGBW sensor or black and white sensor (can only gather black white image) etc.
Deng, it forms colour or black white image/video by sensing visible ray, thus referred to here as visible light image sensor.Accordingly
Visible light image sensor collection terminal image/video be referred to as visible images/video or visible light exposure image/video.
Infrared image sensor 116 is used for gathering infrared image, and it is based on heat radiation and is imaged, and therefore no matter ambient light is strong
Weak, all can gather infrared image.
Exemplarily, the exemplary electronic device for realizing method for detecting human face according to embodiments of the present invention and device can
To be implemented as the image acquisition of such as smart mobile phone, panel computer, the image acquisition end of gate control system, preventing road monitoring system
The rear end control process end of end, the image acquisition end of safety-protection system and various monitoring, safety-security area etc. or server end or cloud
End etc..
Fig. 2 is the indicative flowchart of the method for detecting human face according to the embodiment of the present invention.Below in conjunction with Fig. 2 to basis
The method for detecting human face of the embodiment of the present invention is described.
As shown in Fig. 2 method for detecting human face includes disclosed in the embodiment of the present invention:
First, in step s 201, the infrared image of destination object is obtained by infrared image sensor.
Infrared image is the image being formed based on heat radiation infrared sensitive, and compared with visible ray, infrared imaging is not subject to ring
The strong and weak impact of environmental light, therefore can with half-light also can or clearly infrared image.
In embodiments of the present invention, infrared image sensor can be controlled to obtain destination object by image-signal processor
Infrared image, the infrared ray that the radiation of angular field of view interior-heat is formed is sensed by infrared image sensor, and infrared ray is believed
Number it is converted into the signal of telecommunication, after image-signal processor is processed, form destination object infrared image.
From described infrared image, in step S202, extract the coordinates regional of the human body contour outline of described destination object.
The infrared image of the destination object obtaining in step S201 is processed, therefrom extract the coordinate of human body contour outline
Region, and extract the coordinates regional of described facial contour from the coordinates regional of this human body contour outline, as the coordinate of human body contour outline
How region extracts, and is subsequently described in detail.
In step S203, visible light image sensor is controlled to carry out office to described human body contour outline based on described coordinates regional
Portion exposes, so that the light exposure at least a portion region of inclusion facial zone of described human body contour outline compares image-capture field
The light exposure in other interior regions is big.
Due to when ambient light is weaker it is seen that the image of optical image sensor collection due to excessively secretly obscuring, face and the back of the body
Scape similar brightness etc. reason makes the increase of Face datection difficulty, Face datection efficiency and hydraulic performance decline, in order to improve under half-light
Face datection performance, in the present invention based on the human body contour outline being extracted coordinates regional control visible light image sensor carry out
Partial exposure, so that the light exposure at least a portion region of inclusion facial zone of described human body contour outline is than image acquisition model
The light exposure in other regions in enclosing is big.I.e. in visible light image sensor with corresponding to the coordinates regional of described human body contour outline
Region carries out partial exposure so that the light exposure at least a portion region of inclusion facial zone of described human body contour outline compares image
The light exposure in other regions in acquisition range is big, so that the image of visible light image sensor collection includes facial zone
Other regional luminances height are compared at least a portion region, thus beneficial to follow-up Face datection.
Exemplarily, in one example of the present invention, step S203 further includes:
Step 2030:Based on coordinate transform amount, described coordinates regional is transformed to the coordinate of described visible light image sensor
Region.
Position misaligned, therefore infrared image sensing due to visible light image sensor and infrared image sensor
The coordinate of human body contour outline and position the coordinate equal to human body contour outline in visible light image sensor/image in device/infrared image
And position, therefore in this step coordinate transform is carried out to the coordinates regional of the human body contour outline in infrared image, thus obtain can
See the coordinates regional of human body contour outline in optical image sensor/image.So-called coordinate transform i.e. human body contour outline in infrared image
Coordinate on superposition coordinate transform amount thus obtaining the coordinates regional of human body contour outline in visible light image sensor/image.
Described coordinate transform amount can be only the converted quantity in a direction up conversion amount or multiple directions.?
In the embodiment of the present invention, described coordinate transform amount can infrared image based on goal-selling and visible images obtaining.
Exemplarily, in the present invention one example, described coordinate transform amount can be obtained by following step:
First, place a blank sheet of paper in the angular field of view of described visible light image sensor and infrared image sensor,
And four stains of four corner mark in blank sheet of paper, and apply thermal source so that infrared figure can be formed in the behind of each stain
Picture.In the present invention one example it is preferable that infrared image sensor and visible light image sensor select identical resolution with
And horizontal and vertical visual angle, and it is horizontally disposed with circuit boards and close proximity to reduce the error of coordinate transform.
Then, a described blank sheet of paper of secondary inclusion is obtained respectively by described visible light image sensor and infrared blit image sensor
Image.In the present invention one example, visible light image sensor and infrared image sensing can be controlled by picture signal device
Device gathers image, with obtain respectively one secondary include described blank sheet of paper infrared image and visible images.
Then, in the image of the described blank sheet of paper of inclusion that described visible light image sensor and infrared blit image sensor obtain
Find out described stain and its coordinate.Stain and its coordinate can be obtained by the coordinate system of algorithm and image.When acquisition two
After width image stain and its coordinate, described coordinate transform amount can be obtained by the coordinate of stain described in two width images.For example,
The coordinate one of vertical direction in the present invention one example it is seen that in the coordinate system of optical image sensor and infrared image sensor
Cause, and the coordinate of horizontal direction has difference, therefore by comparing horizontal coordinate difference or the pixel of corresponding stain in two width images
Value difference dPix can obtain the coordinate transform amount of horizontal direction.Exemplarily, the coordinate of such as horizontal direction (being expressed as X-direction)
Transformation for mula is X (visible light image sensor)=X (infrared image sensor)+dPix.It is understood that dPix be based on can
The relative position seeing optical image sensor and infrared blit image sensor can be on the occasion of can also negative value.
Yes may be appreciated, the set-up mode of above-mentioned visible light image sensor and infrared blit image sensor and coordinate
The acquisition methods of converted quantity are only examples, and those skilled in the art can be obtained by additive method based on similar principles
Described coordinate transform amount, and described coordinate transform amount can be only in a direction up conversion amount or multiple directions
Converted quantity.
Step 2031:Coordinates regional according to described visible light image sensor controls described visible light image sensor to enter
Row partial exposure.
It should be noted that the coordinates regional of human body contour outline refers to when visible in so-called visible light image sensor
It is seen that the region of human body can be sensed in optical image sensor during optical image sensor collection image, namely visible light collection
Human body region in image.
In an embodiment of the present invention, visible light image sensor can be controlled to described by image-signal processor
Region corresponding to the coordinates regional of human body contour outline carries out partial exposure, that is, pass through to adjust the corresponding ginseng of image-signal processor
Count so that human body contour outline region includes the exposure at least a portion region of facial zone in visible light image sensor
Amount is bigger than other regions, and the image that so can strengthen visible light image sensor collection includes at least of facial zone
Subregional brightness.In a kind of partial exposure mode of example, by adjust image-signal processor relevant parameter so that
The light exposure of the facial zone in human body contour outline region in visible light image sensor is bigger than other regions, so can increase
The brightness of the facial zone of destination object in the visible images of strong collection, consequently facilitating follow-up Face datection operation.Another
In a kind of partial exposure mode of example, by adjusting the relevant parameter of image-signal processor so that visible images sense
In device, the light exposure of human body contour outline region is bigger than other regions, so can strengthen target pair in the visible images of collection
As the brightness of region (inclusion facial zone), thus also allowing for follow-up Face datection operation.
Exemplarily, in embodiments of the present invention, visible light image sensor can be adjusted by image-signal processor
The weighted value of zones of different to carry out partial exposure to described human body contour outline region, even if people in visible light image sensor
Body profile region includes the exposure power more than other regions for the exposure weighted value at least a portion region of facial zone
Weight values are realizing described partial exposure.
In step S204, the visible ray of the described destination object through partial exposure for collection while described partial exposure
Image.
In embodiments of the present invention, visible light image sensor can be controlled to obtain local by image-signal processor to expose
Light image, is gathered the optical signal of partial exposure, and converts optical signal into the signal of telecommunication by visible light image sensor, passes through
Image-signal processor forms partial exposure image after processing.
In step S205, Face datection is carried out to described visible images.
Then carry out Face datection after obtaining the partial exposure image of visible light image sensor, pass from visible images
Facial image is extracted in the partial exposure image of sensor.Wherein, after carrying out Face datection, can enter for the face detecting
The various feasible subsequent operation such as row feature extraction, attributive analysiss, recognition of face, here is omitted.
The image of described visible light image sensor collection can also be able to be video for picture.When visible images sensing
When the image of device collection is video, then each frame picture being directed to this video of composition carries out Face datection and extraction.In this step
In whether comprise face it may be determined that going out in visible light image sensor acquired image, and visible images pass
Face is oriented in visible light image sensor acquired image in the case of comprising face in sensor acquired image
Region.
Exemplary property, for example, can be gathered in visible light image sensor using the good human-face detector of training in advance
Image in locating human face region.For example, it is possible to advance with the Face datection such as Ha Er (Haar) algorithm, Adaboost algorithm with
Recognizer trains human-face detector on the basis of a large amount of pictures, and for the single-frame imagess of input, this training in advance is good
Human-face detector can quickly locate out human face region.Additionally, the multiframe figure for visible light image sensor continuous acquisition
Picture, after orienting human face region in first two field picture, can be based on human face region in the previous frame image of current frame image
Position to follow the trail of the position of human face region in current frame image in real time.
After detecting facial image in the image gathering in visible light image sensor and provide corresponding coordinate, then may be used
By coordinate, facial image is plucked out (being commonly called as scratching figure), to obtain facial image.
Exemplarily, described people can be detected from the image of described visible light image sensor collection in step S205
The coordinate data of face image position;According to the coordinate data of described destination object, adopt from described visible light image sensor
Take, in the image of collection, the image only including described face.As an example, when the coordinate determining facial image position
After data, can be marked at these coordinates, for example, be labeled as 1, and the position mark outside these coordinates is 0, thus really
Determine region, profile and pixel of facial image etc., then can use existing figure cutting techniques (for example, Graph Cut algorithm)
The region being labeled as 1 is taken out, thus only being comprised the image of face.
Further, in embodiments of the present invention, the facial image that can also detect from step S205/extract is further
Extract the characteristic information of face.
So-called characteristic information, refer to can be used for face or the letter being distinguished face to be identified and other faces
Breath., so-called characteristic information exemplarily can include such as face overall information, such as shape of face, face taking facial image as a example
Layout etc., can also include local feature information, such as nevuss, freckle, scar etc., can also include face characteristic information, for example
Left ear information (size, shape etc.), auris dextra information (size, shape etc.), left eyebrow information (such as shape, position, length and width etc.),
Right eyebrow information (such as shape, position, length and width etc.), and left eye information (such as shape, position, length and width etc.), right eye information
(such as shape, position, length and width etc.) etc..
Exemplarily, in one embodiment, Sobel operator extraction characteristics algorithm or Gabor characteristic algorithm etc. can be passed through
The characteristic information of facial image is extracted in the facial image that feature extraction algorithm extracts from step 205.In another embodiment,
Can be using the good crucial spot locator of training in advance come locating human face's key point in human face region (such as eyes, canthus, eye
Eyeball center, eyebrow, nose, nose, face, the corners of the mouth and face mask etc.).For example, it is possible to advance with cascade homing method exist
Crucial spot locator is trained in a large number on the basis of the face picture of artificial mark.Alternatively, it would however also be possible to employ traditional face
Crucial independent positioning method, it is based on parametric shape model, according to the appearance features near key point, learns a parameter mould
Type, iteratively optimizes the position of key point, finally obtains crucial point coordinates when using, after obtaining crucial point coordinates, permissible
One step is carried out based on this coordinate and obtains key point (such as eyes, canthus, eye center, eyebrow, nose, nose, face, the corners of the mouth
With face mask etc.) other information, such as size, shape etc. information.
Should be appreciated that the present invention is not limited by the facial image extracting method specifically adopting and characteristics information extraction method, no
By be existing facial image extracting method and characteristics information extraction method or in the future the facial image extracting method of exploitation and
Feature extracting method, can be applied to Face datection according to embodiments of the present invention and become in method, and also should include at this
In the protection domain of invention.
Exemplarily, the method for detecting human face according to the present embodiment can be deployed at man face image acquiring end, for example,
Security protection application, can be deployed in the image acquisition end of gate control system;In financial application field, personal terminal can be deployed in
Place, smart phone, panel computer, personal computer etc..
Alternatively, method for detecting human face according to embodiments of the present invention can also be deployed in server end (or cloud with being distributed
End) and personal terminal at.For example, in financial application field, image acquisition can be carried out in personal terminal, form partial exposure figure
Picture, carries out Face datection extraction and identification etc. in server end (or high in the clouds).
According to the method for detecting human face of the present embodiment, by sensing the heat radiation of human body and forming infrared image, Ran Houcong
Extract the coordinates regional of human body contour outline in infrared image, and visible light image sensor is controlled to human body wheel based on this coordinates regional
Exterior feature carries out partial exposure, so that the light exposure at least a portion region of inclusion facial zone of described human body contour outline compares image
The light exposure in other regions in acquisition range is big, thus the image strengthening visible light image sensor collection includes facial area
The brightness at least a portion region in domain, so when the image that visible light image sensor is gathered carries out human face detection and recognition
When, accuracy and performance will be substantially improved, and efficiently solve dark environment human face detection hydraulic performance decline and easy leak
The problem of inspection.
Fig. 3 is the indicative flowchart according to contour extraction method in the method for detecting human face of the embodiment of the present invention.Below
In conjunction with Fig. 3, contour extraction method according to embodiments of the present invention is described.
As shown in figure 3, contour extraction method includes disclosed in the embodiment of the present invention:
First, in step S301, obtain the coordinate figure in infrared in figure for the heat radiation point.
Infrared image is formed by induction heat infrared radiation line, therefore when there is human body, can be by sensing human body
Heat radiation infrared ray formed infrared image.The coordinate therefore passing through to obtain heat radiation point in infrared image can obtain human body wheel
Wide.In embodiments of the present invention, can judge that position in the coordinate system of infrared image for the heat radiation point is obtained by algorithm
Take the coordinate of heat radiation point in infrared image.
In step s 302, corresponding for above-mentioned coordinate pixel value is labeled as 1.Will infrared image all heat radiations point
Pixel value corresponding to coordinate is labeled as 1, and the region that pixel value is 1 is as the human body contour outline in described infrared image.And
And exemplarily, can also further use existing figure cutting techniques (for example, Graph Cut algorithm) to be 1 by pixel value
Region takes out, thus only comprised human body contour outline infrared image.
Exemplarily, in one example, by the pixel value labelling corresponding to the coordinate of all for infrared image heat radiation points
During for 1, the pixel value in other regions is labeled as 0.Or, in another embodiment, can be in advance by the pixel of all pixels
Value is defaulted as 0, after obtaining heat radiation point in the coordinate figure of infrared in figure, then the coordinate institute by all for infrared image heat radiation points
Corresponding pixel value is labeled as 1, so equally can obtain human body contour outline from infrared image.
In step S303, extract the coordinates regional of described facial contour.
According to the human body contour outline obtaining in step S302, extract facial contour using with aforementioned similar method.
Exemplarily, contour extraction method according to embodiments of the present invention can have visible light image sensor, red
Realize in the unit of outer imageing sensor and processor or system.
Contour extraction method according to embodiments of the present invention can be deployed at man face image acquiring end, for example, in security protection
Application, can be deployed in the image acquisition end of gate control system;In financial application field, can be deployed at personal terminal,
Smart phone, panel computer, personal computer etc..
According to the contour extraction method of the present embodiment, by sensing the heat radiation of human body and forming infrared image, Ran Houcong
The coordinates regional of extraction human body contour outline in infrared image, and extract the coordinates regional of facial contour, so just can be based on described
Coordinates regional controls visible light image sensor to carry out partial exposure to human body contour outline region, thus strengthening visible images
The image of sensor acquisition includes the brightness at least a portion region of facial zone.
Fig. 4 is the indicative flowchart according to local exposure method in the method for detecting human face of the embodiment of the present invention.Below
In conjunction with Fig. 4, local exposure method according to embodiments of the present invention is described.
As shown in figure 4, local exposure method according to embodiments of the present invention includes:
In step 401, described visible light image sensor is divided into multiple blocks.
In an embodiment of the present invention, can will be seen that optical image sensor is divided into m*n by image-signal processor
Block.This m*n block can be preset by image-signal processor it is also possible to obtain the coordinates regional of human body contour outline
Afterwards, divided based on the coordinates regional of human body contour outline.
In step 402, for the exposure weighted value that the setting of each block is different, the inclusion face of wherein said human body contour outline
The weighted value of the block corresponding at least a portion region in region is higher than the exposure weighted value of other blocks.I.e. to described visible
In m*n block of optical image sensor, corresponding at least a portion region of inclusion facial zone of described human body contour outline
The higher exposure weighted value of block setting, and the exposure weighted value relatively low to the setting of other blocks.Assume described visible images
Sensor is divided into tetra- blocks of 2*2, is expressed as A, B, C, D, and at least the one of the inclusion facial zone of human body contour outline
Block corresponding to subregion is B, then when arranging the exposure weighted value of tetra- blocks of A, B, C, D, can be by the exposure of B block
It is higher that light weighted value is arranged, and the setting of the exposure weighted value in A, C and D region is relatively low, such as in the present invention one example, permissible
The exposure weighted value of B block is set to 70%, the exposure weighted value of A, C and D block is set to 10%.Show the present invention is another
In example, the exposure weighted value of B block can be set to 1, the exposure weighted value of A, C and D block is set to 0, that is, only to B block
It is exposed, and A, C and D block is not exposed.
In step 403, the weighted value according to each block controls described visible light image sensor to carry out partial exposure,
And gather the visible images of exposed described destination object.
In an embodiment of the present invention, after setting up the exposure weighted value of visible light image sensor each block, then base
Exposure weighted value in set each block controls visible light image sensor to carry out partial exposure, so that visible images pass
In sensor, the light exposure of the block corresponding at least a portion region of inclusion facial zone of human body contour outline is bigger than other blocks,
Thus the image strengthening visible light image sensor collection includes the brightness at least a portion region of facial zone.
In the present invention one example, only the coordinates regional of human body contour outline is exposed when carrying out partial exposure, and right
Other regions are then not all right to expose so that only human region brightness is higher in the image of collection, and other regions are then dark, beneficial to face inspection
Survey and identify.
Exemplarily, the local exposure method according to the present embodiment can have equipment, the dress of memorizer and processor
Put or system in realize.Local exposure method according to embodiments of the present invention can be deployed at man face image acquiring end, example
Image acquisition end of gate control system as the shooting generator terminal of preventing road monitoring system, Companies House etc. etc., or in financial field
Can be deployed at personal terminal.
According to the local exposure method of the present embodiment, by making the inclusion face of human body contour outline in visible light image sensor
The light exposure of the block corresponding at least a portion region in region is bigger than other blocks, thus strengthening visible light image sensor
The image of collection includes the brightness at least a portion region of facial zone, beneficial to human face detection and recognition.
It is understood that described above be only local exposure method an example, the partial exposure side of the present invention
Method not limited to this, such as, except including said one or several step, can also include other steps, for example in one example,
In addition to the coordinates regional based on human body contour outline for the setting arranges the exposure weighted value of each block of visible light image sensor, also may be used
To arrange the digital gain in each region, analog gain, BLC, the wide image such as parameter and brightness, contrast such as dynamic
Mass parameter, includes the quality at least a portion region of facial zone and this region and other regions to improve image
Difference.
Fig. 5 is the schematic block diagram of the human face detection device according to the embodiment of the present invention.With reference to Fig. 5 to basis
The human face detection device of the embodiment of the present invention is described.
As shown in figure 5, human face detection device 500 according to embodiments of the present invention includes infrared image module 510, profile carries
Delivery block 520, partial exposure control module 530 and face detection module 540.
Infrared image module 510 is used for gathering the infrared image of destination object by infrared image sensor.Infrared image
Module 510 can processor 102 in electronic equipment as shown in Figure 1 or image-signal processor 110 Running storage device 104
The programmed instruction of middle storage is realizing, and can execute in target object information generation method according to embodiments of the present invention
Step S201.In the present invention one example, the processor 102 in infrared image module 510 electronic equipment as shown in Figure 1 runs
In storage device 104 programmed instruction of storage to obtain by image-signal processor 110 or infrared image sensor 116 infrared
Image.
Profile extraction module 520 is used for the coordinates regional that described infrared image extracts human body contour outline, and is based on this human body wheel
Wide coordinates regional extracts the coordinates regional of facial contour.That is, extract from the infrared image that infrared image module 510 obtains
The coordinates regional of human body contour outline therein, and therefrom extract the coordinates regional of facial contour.Profile extraction module 520 can be by scheming
In processor 102 Running storage device 104 in electronic equipment shown in 1, the programmed instruction of storage to be realizing, and can hold
Step S202 in row method for detecting human face according to embodiments of the present invention, and step S301 in contour extraction method~
S303.
Partial exposure control module 530 is based on described coordinates regional and controls visible light image sensor to described human body contour outline
Carry out partial exposure so that the light exposure at least a portion region of inclusion facial zone of described human body contour outline is adopted than image
The light exposure in other regions in the range of collection is big, thus strengthen including face by the image that visible light image sensor gathers
The brightness at least a portion region in region.Partial exposure control module 530 can process in electronic equipment as shown in Figure 1
In device 102 and/or picture signal device 110 Running storage device 104, the programmed instruction of storage to be realizing, and can execute basis
Step S203 in the method for detecting human face of the embodiment of the present invention, and the S401~S403 in local exposure method.
Visible images acquisition module 530 is used for controlling described visible light sensing in described partial exposure control module 530
The visible images of the described destination object through partial exposure for collection while device partial exposure.Visible images acquisition module
530 can deposit in processor 102 in electronic equipment as shown in Figure 1 and/or picture signal device 110 Running storage device 104
The programmed instruction of storage is realizing, and can execute step S204 in method for detecting human face according to embodiments of the present invention.
Face detection module 550 carries out face inspection based on described visible light image sensor partial exposure acquired image
Survey.From the image of visible light image sensor collection, detect and extract face, Face datection and extracting method is for example aforementioned retouches
State, will not be described here.Face detection module 550 can run storage dress by the processor 102 in electronic equipment as shown in Figure 1
Put the programmed instruction storing in 104 to realize, and the step in method for detecting human face according to embodiments of the present invention can be executed
Rapid S205.
Exemplarily, as shown in fig. 6, in an embodiment of the present invention, profile extraction module 520 includes coordinate and obtains submodule
Block 5210, element marking submodule 5220 and coordinate transform submodule 5230.
The heat radiation point that coordinate acquisition submodule 5210 senses for infrared image sensor is in described infrared image
Coordinate figure.Coordinate acquisition submodule 5210 can processor 102 Running storage device in electronic equipment as shown in Figure 1
In 104, the programmed instruction of storage to be realizing, and can execute the step in contour extraction method according to embodiments of the present invention
S301.
Element marking submodule 5220 is used for the corresponding pixel value of coordinate of heat radiation point described in described infrared image
It is marked, to obtain human body contour outline.Exemplarily, element marking submodule 5220 is by heat radiation described in described infrared image
Point the corresponding pixel value of coordinate be labeled as 1 and pixel value is 1 region as the human body contour outline in described infrared image.Picture
Plain labelling submodule 5220 can in processor 102 Running storage device 104 in electronic equipment as shown in Figure 1 storage journey
Sequence instructs to be realized, and can execute step S302 in contour extraction method according to embodiments of the present invention.
Coordinate extracting sub-module 5230 is used for extracting the coordinates regional of described facial contour.Coordinate extracting sub-module 5230 can
To be realized with the programmed instruction of storage in processor 102 Running storage device 104 in electronic equipment as shown in Figure 1, and
Step S303 in contour extraction method according to embodiments of the present invention can be executed.
Further, in an embodiment of the present invention, local includes control module 530 and includes coordinate transform submodule
5310th, region division submodule 5320, weight setting submodule 5330 and spectrum assignment submodule 5340.
Coordinate transform submodule 5310 is used for, based on coordinate transform amount, described coordinates regional is transformed to described visible ray figure
Coordinates regional as sensor.For example, coordinate transform submodule 5310 is used for the coordinates regional of the human body contour outline in infrared image
Enter line translation, to obtain the coordinates regional of the human body contour outline in visible light image sensor.Coordinate transform submodule 5310 is permissible
The journey of storage in processor 102 in electronic equipment as shown in Figure 1 or image-signal processor 110 Running storage device 104
Sequence instructs to be realized, and can execute step S303 in contour extraction method according to embodiments of the present invention.
Further, in the present invention one example, the infrared image also based on goal-selling for the coordinate transform submodule 5310
Obtain coordinate transform amount with visible images.Coordinate transform amount can execute coordinate as above with coordinate transform submodule 5310
The step of converted quantity acquisition methods obtains.
Region division submodule 5320 is used for it will be seen that optical image sensor is divided into multiple blocks.Region division submodule
5310 can be in advance it will be seen that optical image sensor be divided into m*n block it is also possible to obtain in coordinate transform submodule 5310
After the coordinates regional of human body contour outline in visible light image sensor, will be seen that light image passes based on the coordinates regional of this human body contour outline
Sensor is divided into m*n block.Region division submodule 5320 can the picture signal in electronic equipment as shown in Figure 1 be processed
In device 110 Running storage device 104, the programmed instruction of storage to be realizing, and can execute local according to embodiments of the present invention
Step S401 in exposure method.
Weight arranges submodule 5330 and is used for the every of the visible light image sensor for region division submodule 5320 division
The different exposure weighted value of individual block setting, so that at least a portion region institute of the inclusion facial zone of described human body contour outline is right
The exposure weighted value of the block answered is higher, and the exposure region thresholding of other blocks is relatively low.Weight setting submodule 5330 can be by
The journey of storage in processor 102 in electronic equipment shown in Fig. 1 and/or image-signal processor 110 Running storage device 104
Sequence instructs to be realized, and can execute step S402 in local exposure method according to embodiments of the present invention.
Spectrum assignment submodule 5340 arranges, based on weight, each block that submodule 5330 is visible light image sensor
The exposure weighted value of setting controls visible light image sensor to carry out partial exposure, so that human body wheel in visible light image sensor
The light exposure of wide region is big, and the light exposure in other regions is little, thus strengthening in the image that visible light image sensor gathers
Including the brightness at least a portion region of facial zone, and the contrast in this region and other regions, to improve Face datection
Performance and efficiency.Spectrum assignment submodule 5340 can the image-signal processor 110 in electronic equipment as shown in Figure 1 run
In storage device 104, the programmed instruction of storage to be realizing, and can execute local exposure method according to embodiments of the present invention
In step S403.
According to the human face detection device of the present invention, by sensing the heat radiation of human body and forming infrared image, then from red
Extract the coordinates regional of human body contour outline in outer image, and human body contour outline is converted to human body contour outline in visible light image sensor
Coordinates regional, and control visible light image sensor to carry out partial exposure to the coordinates regional of human body contour outline, thus strengthening visible
Optical image sensor collection image in inclusion facial zone at least a portion region brightness, and this region and its
The contrast in his region, so when the image that visible light image sensor is gathered carries out human face detection and recognition, accuracy and
Performance will be substantially improved, and efficiently solve the problems, such as dark environment human face detection hydraulic performance decline and easy missing inspection.
Fig. 8 is the schematic block diagram of the image detecting apparatus according to the embodiment of the present invention.With reference to Fig. 8 to basis
The image detecting apparatus system of the embodiment of the present invention is described.
As shown in figure 8, image detecting apparatus 800 according to embodiments of the present invention include infrared image sensor 810, visible
Optical image sensor 820, storage device 830 and processor 840.
Described infrared image sensor 810 is used for gathering the infrared image of destination object.Visible light image sensor 820 is used
Visible light exposure image in collection destination object.Visible light image sensor 820 can be RGB sensor or black
White sensor.Infrared image sensor 810 and visible light image sensor 820 can gather picture and can also gather video.When
So, infrared image sensor 810, visible light image sensor 820 gathered data process can electronic equipment as shown in Figure 1
In processor 102 or image-signal processor 110 Running storage device 104 in storage programmed instruction realizing, to obtain
Picture or video data.
Further, in embodiments of the present invention, infrared image sensor 810 and visible light image sensor 820 are preferred
Ground is identical in directions such as resolution, horizontal view angle, verticals angle of view.
Described storage device 830 stores for realizing the corresponding steps in method for detecting human face according to embodiments of the present invention
Program code.
Described processor 840 is used for running the program code of storage in described storage device 830, to execute according to the present invention
The corresponding steps of the method for detecting human face of embodiment, and for realizing in human face detection device according to embodiments of the present invention
Infrared image module 510, profile extraction module 520, partial exposure control module 530, visible images acquisition module 540 and people
Face detection module 550;And the coordinate acquisition submodule 5210 in profile extraction module 520, element marking submodule 5220 and
Coordinate transform submodule 5310 in coordinate extracting sub-module 5230, and local inclusion control module 530, region division submodule
5320th, weight setting submodule 5330 and spectrum assignment submodule 5340.
In one embodiment, following steps are executed when described program code is run by described processor 840:
Obtain the infrared image of destination object by infrared image sensor;
The coordinates regional of the human body contour outline of described destination object is extracted from described infrared image;
Visible light image sensor is controlled to carry out partial exposure to described human body contour outline based on described coordinates regional, so that
The light exposure at least a portion region of inclusion facial zone of described human body contour outline is than other regions in image-capture field
Light exposure big;
The visible images of the described destination object through partial exposure for collection while described partial exposure;
Face datection is carried out to described visible images.
In one embodiment, processor 840 can be implemented as central processing unit (CPU) and image-signal processor
(ISP), wherein, central processing unit (CPU) obtains infrared image by infrared image sensor 810, is then stored by execution
Corresponding program code in device 830, extracts human body contour outline from infrared image, and is translated into visible light image sensor
Human body contour outline region in 820, is then based on the difference that this human body contour outline region is in visible light image sensor
The different exposure weighted value of region setting, then sends the exposure weighted value of this zones of different to image-signal processor
(ISP), image-signal processor passes through to execute the corresponding exposure weight based on zones of different for the program code in storage device 830
Value controls visible light image sensor 820 to be exposed, so that human region in the image of visible light image sensor 820 collection
Brightness and human region relative to other regions to relatively higher, subsequent central processing unit (CPU) is by based on visible ray figure
Image as sensor 820 collection carries out Face datection by executing corresponding program code in storage device 830.
Exemplarily, image detecting apparatus 800 according to embodiments of the present invention can be implemented with infrared image sensing
Device, visible light image sensor, the unit of memorizer, communication interface/unit and processor or system.
Image detecting apparatus 800 according to embodiments of the present invention can be deployed in Face datection identifying system, for example,
Security protection application, can be deployed in gate control system or preventing road monitoring system;In financial application field, can be with bank, exchange
Etc. identity authorization system in.
Additionally, according to embodiments of the present invention, additionally providing a kind of storage medium, storing program on said storage
Instruction, when described program instruction is run by computer or processor for execute the embodiment of the present invention method for detecting human face,
Contour extraction method, the corresponding steps of local exposure method, and for realizing Face datection dress according to embodiments of the present invention
Put, the corresponding module/submodule of profile extraction module, partial exposure control module.Described storage medium for example can include intelligence
Can the storage card of phone, the memory unit of panel computer, the hard disk of personal computer, read only memory (ROM), erasable compile
Journey read only memory (EPROM), portable compact disc read only memory (CD-ROM), USB storage or above-mentioned storage medium
Combination in any.Described computer-readable recording medium can be any group of one or more computer-readable recording mediums
Close, such as one computer-readable recording medium comprises the computer-readable program code generating for target object information,
Another computer-readable recording medium comprises the computer-readable program code for target object information identification.
In one embodiment, described computer program instructions can be realized when being run by computer according to the present invention in fact
Apply each functional module in the method for detecting human face device of example, and/or people according to embodiments of the present invention can be executed
Face detecting method.
In one embodiment, described computer program instructions execute following steps when being run by computer:By red
Outer imageing sensor obtains the infrared image of destination object;The human body contour outline of described destination object is extracted from described infrared image
Coordinates regional;Visible light image sensor is controlled to carry out partial exposure to described human body contour outline based on described coordinates regional, with
The light exposure at least a portion region of inclusion facial zone making described human body contour outline is than other in image-capture field
The light exposure in region is big;The visible images of the described destination object through partial exposure for collection while described partial exposure;
Face datection is carried out to described visible images.
Each module in human face detection device according to embodiments of the present invention can be by people according to embodiments of the present invention
The processor of the electronic equipment of face detection runs the computer program instructions storing in memory to realize, or can be in root
According to the computer instruction storing in the computer-readable recording medium of the computer program of the embodiment of the present invention by computer
Realize during operation.
Method for detecting human face according to embodiments of the present invention and device, image detecting apparatus and storage medium, by infrared
Image zooming-out human body contour outline, and control visible light image sensor to carry out partial exposure to human body contour outline region, enhance
Visible light image sensor collection image in described human body contour outline inclusion facial zone at least a portion region bright
Degree, and the contrast in this region and other regions, so when the image that visible light image sensor is gathered carries out Face datection
With during identification, accuracy and performance will be substantially improved, efficiently solve dark environment human face detection hydraulic performance decline and
The easily problem of missing inspection.
Although here by reference to Description of Drawings example embodiment it should be understood that above-mentioned example embodiment is merely exemplary
, and be not intended to limit the scope of the invention to this.Those of ordinary skill in the art can carry out various changes wherein
And modification, it is made without departing from the scope of the present invention and spirit.All such changes and modifications are intended to be included in claims
Within required the scope of the present invention.
Those of ordinary skill in the art are it is to be appreciated that combine the list of each example of the embodiments described herein description
Unit and algorithm steps, being capable of being implemented in combination in electronic hardware or computer software and electronic hardware.These functions are actually
To be executed with hardware or software mode, the application-specific depending on technical scheme and design constraint.Professional and technical personnel
Each specific application can be used different methods to realize described function, but this realization is it is not considered that exceed
The scope of the present invention.
It should be understood that disclosed equipment and method in several embodiments provided herein, can be passed through it
Its mode is realized.For example, apparatus embodiments described above are only schematically, for example, the division of described unit, and only
It is only a kind of division of logic function, actual can have other dividing mode when realizing, and for example multiple units or assembly can be tied
Close or be desirably integrated into another equipment, or some features can be ignored, or do not execute.
In description mentioned herein, illustrate a large amount of details.It is to be appreciated, however, that the enforcement of the present invention
Example can be put into practice in the case of not having these details.In some instances, known method, structure are not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly it will be appreciated that in order to simplify the present invention and help understand one or more of each inventive aspect,
In description to the exemplary embodiment of the present invention, each feature of the present invention be sometimes grouped together into single embodiment, figure,
Or in descriptions thereof.However, not should by this present invention method be construed to reflect following intention:I.e. claimed
Application claims than the feature being expressly recited in each claim more features.More precisely, as accordingly
As claims are reflected, its inventive point is can be with all features of embodiment single disclosed in certain
Feature is solving corresponding technical problem.Therefore, it then follows claims of specific embodiment are thus expressly incorporated in this tool
Body embodiment, wherein each claim itself is as the separate embodiments of the present invention.
It will be understood to those skilled in the art that in addition to mutually exclusive between feature, any combinations pair can be adopted
All features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed any method
Or all processes of equipment or unit are combined.Unless expressly stated otherwise, (including adjoint right will for this specification
Ask, make a summary and accompanying drawing) disclosed in each feature can be replaced by the alternative features providing identical, equivalent or similar purpose.
Although additionally, it will be appreciated by those of skill in the art that some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of different embodiment means to be in the present invention's
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment required for protection one of arbitrarily
Can in any combination mode using.
The all parts embodiment of the present invention can be realized with hardware, or to run on one or more processor
Software module realize, or with combinations thereof realize.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) are realizing some moulds in article analytical equipment according to embodiments of the present invention
The some or all functions of block.The present invention is also implemented as a part for executing method as described herein or complete
The program of device (for example, computer program and computer program) in portion.Such program realizing the present invention can store
On a computer-readable medium, or can have the form of one or more signal.Such signal can be from the Internet
Download on website and obtain, or provide on carrier signal, or provided with any other form.
It should be noted that above-described embodiment the present invention will be described rather than limits the invention, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference markss between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element listed in the claims or step.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can come real by means of the hardware including some different elements and by means of properly programmed computer
Existing.If in the unit claim listing equipment for drying, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
The above, the only specific embodiment of the present invention or the explanation to specific embodiment, the protection of the present invention
Scope is not limited thereto, any those familiar with the art the invention discloses technical scope in, can be easily
Expect change or replacement, all should be included within the scope of the present invention.Protection scope of the present invention should be with claim
Protection domain is defined.
Claims (10)
1. a kind of method for detecting human face is it is characterised in that include:
Obtain the infrared image of destination object by infrared image sensor;
The coordinates regional of the human body contour outline of described destination object is extracted from described infrared image;
Visible light image sensor is controlled to carry out partial exposure to described human body contour outline based on described coordinates regional, so that described
The light exposure at least a portion region of inclusion facial zone of human body contour outline is than the exposure in other regions in image-capture field
Light quantity is big;
The visible images of the described destination object through partial exposure for collection while described partial exposure;
Face datection is carried out to described visible images.
2. method for detecting human face according to claim 1 it is characterised in that described extract from described infrared image described
The coordinates regional of the human body contour outline of destination object includes:
Coordinate figure in described infrared image for the heat radiation point that acquisition infrared image sensor senses;
The corresponding pixel value of coordinate of heat radiation point described in described infrared image is labeled as 1 and the region being 1 by pixel value
As the human body contour outline in described infrared image;
Extract the coordinates regional of facial contour.
3. method for detecting human face according to claim 2 it is characterised in that described based on described coordinates regional control visible
Optical image sensor carries out partial exposure to described human body contour outline and includes:
Based on coordinate transform amount, described coordinates regional is transformed to the coordinates regional of described visible light image sensor;
Coordinates regional according to described visible light image sensor controls described visible light image sensor to carry out partial exposure.
4. method for detecting human face according to claim 3 is it is characterised in that methods described is also included based on goal-selling
Infrared image and visible images obtain coordinate transform amount, and the step of wherein said acquisition coordinate transform amount includes:
Place a blank sheet of paper in the angular field of view of described visible light image sensor and infrared image sensor, and in blank sheet of paper
Four stains of four corner mark;
The one secondary image including described blank sheet of paper is obtained respectively by described visible light image sensor and infrared image sensor;
The image of the described blank sheet of paper of inclusion that described visible light image sensor and infrared image sensor obtain is found out described
Stain and its coordinate;
Described coordinate transform amount is obtained by the coordinate of stain described in two width images,
Wherein, apply thermal source at the back side of each described stain.
5. the method for detecting human face according to any one in claim 1-4 it is characterised in that described based on described seat
Mark Region control visible light image sensor carries out partial exposure to described human body contour outline and includes:
The photosensitive region of described visible light image sensor is divided into multiple blocks;
For the different exposure weighted value of each block setting, at least a portion of the inclusion facial zone of wherein said human body contour outline
The weighted value of the block corresponding to region is higher than the exposure weighted value of other blocks;
Weighted value according to each block controls described visible light image sensor to be exposed and gather exposed described mesh
The visible images of mark object.
6. a kind of human face detection device is it is characterised in that include:
Infrared image acquisition module, described infrared image acquisition module is used for obtaining the infrared image of destination object;
Profile extraction module, described profile extraction module is used for extracting the human body wheel of described destination object from described infrared image
Wide coordinates regional;
Partial exposure module, described partial exposure module is used for controlling visible light image sensor to institute based on described coordinates regional
State human body contour outline carry out partial exposure so that described human body contour outline inclusion facial zone at least a portion region exposure
Amount is bigger than the light exposure in other regions in image-capture field;
Visible images acquisition module, described visible images acquisition module is used for gathering through office while described partial exposure
The visible images of the described destination object of portion's exposure;
Face detection module, described face detection module is used for carrying out Face datection to described visible images.
7. human face detection device according to claim 6 is it is characterised in that described profile extraction module includes:
Coordinate acquisition submodule, described coordinate acquisition submodule exists for obtaining the heat radiation point that infrared image sensor senses
Coordinate figure in described infrared image;
Element marking submodule, described element marking submodule is used for the coordinate pair of heat radiation point described in described infrared image
The pixel value answered be labeled as 1 and pixel value is 1 region as the human body contour outline in described infrared image;
Coordinate extracting sub-module, described coordinate extracting sub-module is used for extracting the coordinates regional of described facial contour.
8. human face detection device according to claim 6 is it is characterised in that described partial exposure module includes:
Region division submodule, described region division submodule is used for dividing the photosensitive region of described visible light image sensor
For multiple blocks;
Weight arranges submodule, and described weight arranges submodule and is used for arranging different exposure weighted values for each block, wherein
The weighted value of the block corresponding at least a portion region of inclusion facial zone of described human body contour outline is than the exposure of other blocks
Light weighted value is high;
Spectrum assignment submodule, the weighted value that described spectrum assignment submodule is used for according to each block controls described visible ray figure
As sensor is exposed.
9. human face detection device according to claim 8 is it is characterised in that described partial exposure module also includes coordinate change
Change submodule, described coordinate transform submodule is used for, based on coordinate transform amount, described coordinates regional is transformed to described visible ray figure
Coordinates regional as sensor.
10. the human face detection device according to any one of claim 6 to 9 it is characterised in that described profile extraction module,
Described partial exposure module and described face detection module are realized by same processor.
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CN201610972629.1A CN106446873B (en) | 2016-11-03 | 2016-11-03 | Face detection method and device |
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CN201610972629.1A CN106446873B (en) | 2016-11-03 | 2016-11-03 | Face detection method and device |
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