CN110062155A - A kind of portrait based on automatic light measuring is taken pictures optimization system, method and apparatus - Google Patents
A kind of portrait based on automatic light measuring is taken pictures optimization system, method and apparatus Download PDFInfo
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- CN110062155A CN110062155A CN201910228064.XA CN201910228064A CN110062155A CN 110062155 A CN110062155 A CN 110062155A CN 201910228064 A CN201910228064 A CN 201910228064A CN 110062155 A CN110062155 A CN 110062155A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
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Abstract
The invention belongs to technical field of image processing, and in particular to a kind of portrait based on automatic light measuring is taken pictures optimization system, method and apparatus；The system comprises the first judging units, judge whether user triggers Manual focusing, generate the first judging result；Second judgment unit, the preview frame obtained to camera detect, and judge whether to detect face, generate the second judging result；Third judging unit judges whether to take pictures in progress short distance portrait, generates third judging result；Light unit is surveyed, for camera being controlled and entering portrait metering mode, survey any metering mode in mode light or three kinds of manual light-metering mode automatically according to the first judging result, the second judging result and third judging result；So that user in self-timer, does not need people and understands the operation of Manual focusing high request, while the photo for projecting oneself, having a sense of hierarchy can be also taken than central average metering.
Description
Technical field
The invention belongs to technical field of image processing, and in particular to a kind of portrait based on automatic light measuring is taken pictures optimization system
System, method and apparatus.
Background technique
The photometric system of digital camera is usually to measure the reflected brightness of subject, also referred to as reflective survey
Light.Exposure Metering unusual is divided into External metering and interior survey light two ways by the riding position of photometry element.External metering:
In External metering mode, the optical path of photometry element and camera lens is independent.This Exposure Metering is widely used in head-up and finds a view
In front shutter camera, it has enough sensitivity and accuracy.Single-sens reflex camera does not use this survey generally
Light mode.Interior survey light: this Exposure Metering is to carry out survey light by camera lens, i.e., so-called TTL surveys light, consistent with photography conditions,
It can be carried out and automatically correct when replacing camera lens or photo distance variation plus filter.It is almost all of single-lens at present
Reflex camera all uses this Exposure Metering.
But regardless of being External metering or interior survey light, nearly all camera manufacturer is all central average metering, this method
Benefit is can to obtain balanced picture easily, is not in local bloom overexposure, the histogram equalization of entire picture.And it is right
Like for the people of self-timer, wish to give prominence to the key points when self-timer oneself needs manually when face being made to have stereovision
Survey light is carried out to face, increases operation complexity, improves self-timer threshold.This technology solves people in self-timer, automatically
Survey light is carried out according to face information, to improve the quality taken pictures, reduces take pictures difficulty and threshold.
Summary of the invention
In view of this, the main purpose of the present invention is to provide a kind of portrait based on automatic light measuring take pictures optimization system,
Method and apparatus, so that user in self-timer, does not need the operation that people understand Manual focusing high request, while can be than center yet
Average metering can be taken and project oneself, the photo having a sense of hierarchy.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of portrait based on automatic light measuring is taken pictures optimization system, the system comprises
First judging unit, judges whether user triggers Manual focusing, generates the first judging result；
Second judgment unit, the preview frame obtained to camera detect, judge whether to detect face,
Generate the second judging result；
Third judging unit judges whether to take pictures in progress short distance portrait, generates third judging result；
Light unit is surveyed, for according to the first judging result, the second judging result and third judging result, control
Camera processed enters portrait metering mode, surveys any survey optical mode in mode light or three kinds of manual light-metering mode automatically
Formula.
Further, the survey light unit includes: that portrait surveys light unit, automatic light measuring unit and manual light-metering unit；Institute
It states portrait survey light unit control camera and enters portrait metering mode；The automatic light measuring unit control camera enters automatic light measuring mould
Formula；The manual light-metering unit control camera enters manual light-metering mode.
Further, when the preview frame that the second judgment unit obtains camera detects, if detecting face
When quantity is 1 and area of the face area in preview frame is greater than the 5% of preview frame image area, then judgement detects face.
A kind of portrait based on automatic light measuring is taken pictures optimization method, and the method executes following steps:
Step 1: judging whether user triggers Manual focusing, if so, thening follow the steps 2；If it is not, then executing step
6；
Step 2: the preview frame obtained to camera detects, and judges whether to detect face, if so, thening follow the steps
3；If it is not, then executing step 5；
Step 3: judging whether to take pictures in progress short distance portrait, if so, 4 are thened follow the steps, if it is not, then executing
Step 5
Step 4: carrying out portrait and survey light；
Step 5: carrying out automatic light measuring；
Step 6: carrying out manual light-metering.
Further, the preview frame obtained to camera detects, and judges whether to detect that the method for face includes:
When being detected to the preview frame that camera obtains, if detecting that face quantity is 1 and area of the face area in preview frame
Greater than preview frame image area 5% when, then judgement detect face.
Further, the method for carrying out automatic light measuring includes: to carry out skin detection and skin according to the face detected
Color probability statistics, and obtain the center position of skin color probability and highest skin chunk；It is automatic according to the center position of acquisition
Light is surveyed, and the center position is saved as into new survey light center point；
Further, the method further includes:
Recognition of face is carried out to image data, obtains human face region；
Mean value computation is carried out to the human face region of acquisition, obtains the average colour of skin；
The data of human face region are subjected to piecemeal, the statistics of skin color probability are carried out to each data block, and according to acquisition
The average colour of skin calculates the skin color probability mapping table of current data block；
Skin color model is carried out to current data block according to the skin color probability mapping table of acquisition, and obtains skin color probability and highest
Data block central point.
A kind of portrait based on automatic light measuring, which is taken pictures, optimizes device, and described device includes: a kind of computer of non-transitory
Readable storage medium storing program for executing, the storage medium store computations comprising: judge whether user triggers Manual focusing, generates the
The code segment of one judging result；The preview frame obtained to camera detects, and judges whether to detect face, generates the second judgement
As a result code segment；Judge whether to take pictures in progress short distance portrait, generates the code segment of third judging result；For according to
One judging result, the second judging result and third judging result, control camera enter portrait metering mode, it is automatic survey mode light or
The code segment of any metering mode in three kinds of manual light-metering mode.
A kind of portrait based on automatic light measuring of the invention is taken pictures optimization system, method and apparatus, is had following beneficial to effect
Fruit: it needs manually to carry out survey light to face, increases operation complexity, improve self-timer threshold.This technology solves people and exists
When self-timer, survey light is automatically carried out according to face information, to improve the quality taken pictures, reduces take pictures difficulty and door
Sill.User does not need people and understands the operation of Manual focusing high request in self-timer, while can clap than central average metering yet
It projects oneself out, the photo having a sense of hierarchy.
Detailed description of the invention
Fig. 1 is that the portrait of the invention based on automatic light measuring is taken pictures the method flow schematic diagram of optimization system.
Specific embodiment
With reference to the accompanying drawing and the embodiment of the present invention is described in further detail method of the invention.
A kind of portrait based on automatic light measuring is taken pictures optimization system, the system comprises
First judging unit, judges whether user triggers Manual focusing, generates the first judging result；
Second judgment unit, the preview frame obtained to camera detect, judge whether to detect face,
Generate the second judging result；
Third judging unit judges whether to take pictures in progress short distance portrait, generates third judging result；
Light unit is surveyed, for camera being controlled and being entered according to the first judging result, the second judging result and third judging result
Any metering mode in portrait metering mode, automatic survey mode light or three kinds of manual light-metering mode.
Specifically, the first judging unit judges whether after triggering Manual focusing, will knot if triggered Manual focusing
Fruit is sent to survey light unit, and survey light unit then controls camera and enters manual light-metering mode.For example, user applies in starting,
Take pictures preview when, have and carry out click behavior on screen preview, then judge user trigger Manual focusing, generate first judgement
As a result.
The judgement of first judging unit then sends result to second judgment unit, the second judgement without triggering Manual focusing
The preview frame that unit obtains camera detects, and judges whether to detect face.For example, it when camera preview, can return
The preview data of each frame carries out Face datection using the prior art to preview data, judges whether to detect face, generates the
Two judging results.
If detecting face, it is sent to third judging unit；It is sent to if not detecting face and surveys light list
Member carries out automatic light measuring.
Third judging unit judges whether to short distance portrait and takes pictures, if it is, being sent to survey light unit, surveys light list
Member control camera enters portrait metering mode.Enter automatic light measuring mode if it is not, surveying light unit and then controlling camera.For inspection
The human face data measured is analyzed, and in a kind of specific embodiment, face quantity is 1, and face size is not less than whole
Body image 5% when, then judge the user carry out short distance portrait, generate third judging result.
Further, the survey light unit includes: that portrait surveys light unit, automatic light measuring unit and manual light-metering unit；Institute
It states portrait survey light unit control camera and enters portrait metering mode；The automatic light measuring unit control camera enters automatic light measuring mould
Formula；The manual light-metering unit control camera enters manual light-metering mode.
Further, when the preview frame that the second judgment unit obtains camera detects, if detecting face
When quantity is 1 and area of the face area in preview frame is greater than the 5% of preview frame image area, then judgement detects face.
A kind of portrait based on automatic light measuring is taken pictures optimization method, and the method executes following steps:
Step 1: judging whether user triggers Manual focusing, if so, thening follow the steps 2；If it is not, then executing step
6；
Step 2: the preview frame obtained to camera detects, and judges whether to detect face, if so, thening follow the steps
3；If it is not, then executing step 5；
Step 3: judging whether to take pictures in progress short distance portrait, if so, 4 are thened follow the steps, if it is not, then executing
Step 5
Step 4: carrying out portrait and survey light；
Step 5: carrying out automatic light measuring；
Step 6: carrying out manual light-metering.
Further, the preview frame obtained to camera detects, and judges whether to detect that the method for face includes:
When being detected to the preview frame that camera obtains, if detecting that face quantity is 1 and area of the face area in preview frame
Greater than preview frame image area 5% when, then judgement detect face.
Further, the method for carrying out automatic light measuring includes: to carry out skin detection and skin according to the face detected
Color probability statistics, and obtain the center position of skin color probability and highest skin chunk；It is automatic according to the center position of acquisition
Light is surveyed, and the center position is saved as into new survey light center point；
Further, the method further includes:
Recognition of face is carried out to image data, obtains human face region；
Mean value computation is carried out to the human face region of acquisition, obtains the average colour of skin；
The data of human face region are subjected to piecemeal, the statistics of skin color probability are carried out to each data block, and according to acquisition
The average colour of skin calculates the skin color probability mapping table of current data block；
Skin color model is carried out to current data block according to the skin color probability mapping table of acquisition, and obtains skin color probability and highest
Data block central point.
Specifically, the human face region to acquisition includes: the step of carrying out mean value computation, obtain the average colour of skin
Create skin model, size 256*256；
Assignment successively is carried out to skin model, specific pseudocode is as follows:
Default temporary variable AlphaValue, nMax, i, j are integer type；
Skin model variable is SkinModel [256] [256]；
For (i=0；i<256；i++)
{
Judge whether i is greater than 128, if it is greater than 128, then otherwise it is i*2 that AlphaValue, which is 255,；
The value for obtaining nMax is calculated, calculation formula is nMax=min (256, AlphaValue*2)；
For (j=0；j<nmax；J++)<p=""></nmax；j++)<>
{
The value of the skin model of corresponding position is calculated, calculation formula is SkinModel [i] [j]=AlphaValue- (j/
2)；
}
(j=nMax.j < 256 For；j++)
{
The value of the skin model of initial corresponding position is 0；
}
}。
It is further:
The pixel for traversing whole image, the color value of red channel, green channel, blue channel is added up, face is obtained
Color accumulated value；
By color accumulated value divided by the sum of the pixel of whole image, red channel, green channel, blue channel are obtained
Mean value, the threshold value as the initial colour of skin.
In the present embodiment, the step D2.3 further comprises:
The gray value of the average colour of skin is calculated according to the following formula:
GRAY 1=0.299*RED+0.587*GREEN+0.114*BLUE
Wherein, GRAY1 is the gray value of the current pixel point of image；RED, GREEN, BLUE are respectively the current picture of image
The color value in the red, green, blue channel of vegetarian refreshments；
Using the gray value as threshold value, for excluding the part of human face region non-skin；
The color value of the pixel in human face region is successively traversed, obtains the average colour of skin according to the following formula:
Skin=SkinModel [red] [blue]；
Wherein, skin is the skin tone value after the color mapping of skin model；Red is the color value of red channel；
Blue is the color value of blue channel.
Create skin color probability mapping table, size 256*256；
Assignment successively is carried out to skin color probability mapping table, specific pseudocode is as follows；
Default temporary variable i, j, SkinRed_Left, AlphaValue, Offset, TempAlphaValue, OffsetJ
For integer type；
The variable of skin color probability mapping table is SkinProbability [256] [256]；
SkinRed is the mean value for the red channel that step D2.2.2 is calculated；SkinBlue is step D2.2.2 calculating
The mean value of obtained blue channel；
The value of default SkinRed_Left, calculation formula are as follows: SkinRed_Left=SkinRed-128；
For (i=0；i<256；i++)
{
The value of Offset is calculated, formula is Offset=max (0, min (255, i-SkinRed_Left))；
Judge the value of Offset whether less than 128, if it is less than, words then AlphaValue=Offset*2；If big
If being equal to 128, then AlphaValue=255；
For (j=0；j<256；j++)
{
The value of OffsetJ is calculated, formula is OffsetJ=max (0, j-SkinBlue)；
The value of TempAlphaValue is calculated, formula is TempAlphaValue=max (AlphaValue- (OffsetJ*
2),0)；
The value for judging TempAlphaValue, if 160, then the value of SkinProbability [i] [j] is
255；
If 90, then the value of SkinProbability [i] [j] is 0；Otherwise SkinProbability [i]
The value of [j] is TempAlphaValue+30；
}
}。
A kind of portrait based on automatic light measuring, which is taken pictures, optimizes device, and described device includes: a kind of computer of non-transitory
Readable storage medium storing program for executing, the storage medium store computations comprising: judge whether user triggers Manual focusing, generates the
The code segment of one judging result；The preview frame obtained to camera detects, and judges whether to detect face, generates the second judgement
As a result code segment；Judge whether to take pictures in progress short distance portrait, generates the code segment of third judging result；For according to
One judging result, the second judging result and third judging result, control camera enter portrait metering mode, it is automatic survey mode light or
The code segment of any metering mode in three kinds of manual light-metering mode
Person of ordinary skill in the field can be understood that, for convenience and simplicity of description, foregoing description
The specific work process of system and related explanation, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
It should be noted that system provided by the above embodiment, only illustrate with the division of above-mentioned each functional module
It is bright, in practical applications, it can according to need and complete above-mentioned function distribution by different functional modules, i.e., it will be of the invention
Module or step in embodiment are decomposed or are combined again, for example, the module of above-described embodiment can be merged into a module,
It can also be further split into multiple submodule, to complete all or part of the functions described above.The present invention is implemented
Module, the title of step involved in example, it is only for distinguish modules or step, be not intended as to of the invention improper
It limits.
Person of ordinary skill in the field can be understood that, for convenience and simplicity of description, foregoing description
The specific work process and related explanation of storage device, processing unit, can refer to corresponding processes in the foregoing method embodiment,
Details are not described herein.
Those skilled in the art should be able to recognize that, mould described in conjunction with the examples disclosed in the embodiments of the present disclosure
Block, method and step, can be realized with electronic hardware, computer software, or a combination of the two, software module, method and step pair
The program answered can be placed in random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electric erasable and can compile
Any other form of storage well known in journey ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field is situated between
In matter.In order to clearly demonstrate the interchangeability of electronic hardware and software, in the above description according to function generally
Describe each exemplary composition and step.These functions are executed actually with electronic hardware or software mode, depend on technology
The specific application and design constraint of scheme.Those skilled in the art can carry out using distinct methods each specific application
Realize described function, but such implementation should not be considered as beyond the scope of the present invention.
Term " first ", " second " etc. are to be used to distinguish similar objects, rather than be used to describe or indicate specific suitable
Sequence or precedence.
Term " includes " or any other like term are intended to cover non-exclusive inclusion, so that including a system
Process, method, article or equipment/device of column element not only includes those elements, but also including being not explicitly listed
Other elements, or further include the intrinsic element of these process, method, article or equipment/devices.
So far, it has been combined preferred embodiment shown in the drawings and describes technical solution of the present invention, still, this field
Technical staff is it is easily understood that protection scope of the present invention is expressly not limited to these specific embodiments.Without departing from this
Under the premise of the principle of invention, those skilled in the art can make equivalent change or replacement to the relevant technologies feature, these
Technical solution after change or replacement will fall within the scope of protection of the present invention.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (8)
- The optimization system 1. a kind of portrait based on automatic light measuring is taken pictures, which is characterized in that the system comprisesFirst judging unit, judges whether user triggers Manual focusing, generates the first judging result；Second judgment unit, the preview frame obtained to camera detect, and judge whether to detect face, generate the second judgement knot Fruit；Third judging unit judges whether to take pictures in progress short distance portrait, generates third judging result；Light unit is surveyed, for camera being controlled and entering portrait according to the first judging result, the second judging result and third judging result Any metering mode in metering mode, automatic survey mode light or three kinds of manual light-metering mode.
- 2. the portrait based on automatic light measuring is taken pictures optimization system as described in claim 1, which is characterized in that the survey light unit It include: that portrait surveys light unit, automatic light measuring unit and manual light-metering unit；The portrait surveys light unit control camera and enters portrait Metering mode；The automatic light measuring unit control camera enters automatic light measuring mode；The manual light-metering unit control camera into Enter manual metering mode.
- 3. the portrait based on automatic light measuring is taken pictures optimization system as described in claim 1, which is characterized in that second judgement When the preview frame that unit obtains camera detects, if detecting that face quantity is 1 and face area is in preview frame When area is greater than the 5% of preview frame image area, then judgement detects face.
- The optimization method 4. a kind of portrait based on automatic light measuring is taken pictures, which is characterized in that the method executes following steps:Step 1: judging whether user triggers Manual focusing, if so, thening follow the steps 2；If it is not, then executing step 6；Step 2: the preview frame obtained to camera detects, and judges whether to detect face, if so, thening follow the steps 3；Such as Fruit is not to then follow the steps 5；Step 3: judging whether to take pictures in progress short distance portrait, if so, 4 are thened follow the steps, if it is not, then executing step 5Step 4: carrying out portrait and survey light；Step 5: carrying out automatic light measuring；Step 6: carrying out manual light-metering.
- 5. the portrait based on automatic light measuring is taken pictures optimization method as claimed in claim 4, which is characterized in that described to be obtained to camera The preview frame taken is detected, judge whether the method for detecting face include: to camera obtain preview frame detect when, If detect that face quantity is 1 and area of the face area in preview frame is greater than the 5% of preview frame image area, sentence It is disconnected to detect face.
- 6. the portrait based on automatic light measuring is taken pictures optimization method as claimed in claim 5, which is characterized in that it is described carry out it is automatic The method for surveying light includes: to carry out skin detection and skin color probability statistics according to the face that detects, and obtain skin color probability and most The center position of high skin chunk；It is saved as newly according to the center position automatic light measuring of acquisition, and by the center position Survey light center point.
- 7. the portrait based on automatic light measuring is taken pictures optimization method as claimed in claim 6, which is characterized in that the method is into one Step includes:Recognition of face is carried out to image data, obtains human face region；Mean value computation is carried out to the human face region of acquisition, obtains the average colour of skin；The data of human face region are subjected to piecemeal, the statistics of skin color probability, and being averaged according to acquisition are carried out to each data block The skin color probability mapping table of colour of skin calculating current data block；Skin color model is carried out to current data block according to the skin color probability mapping table of acquisition, and obtains skin color probability and highest number According to the central point of block.
- 8. a kind of portrait based on automatic light measuring, which is taken pictures, optimizes device, which is characterized in that described device includes: a kind of non-transitory Computer readable storage medium, which stores computations comprising: it is poly- manually to judge whether user triggers Coke generates the code segment of the first judging result；The preview frame obtained to camera detects, and judges whether to detect face, raw At the code segment of the second judging result；Judge whether to take pictures in progress short distance portrait, generates the code segment of third judging result； Enter portrait metering mode, automatic for according to the first judging result, the second judging result and third judging result, controlling camera Survey the code segment of any metering mode in mode light or three kinds of manual light-metering mode.
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| CN103729624A (en) * | 2013-12-25 | 2014-04-16 | 厦门美图移动科技有限公司 | Photometry method and system based on skin color recognition |
| CN103858043A (en) * | 2011-10-12 | 2014-06-11 | 佳能株式会社 | Imaging device, and method and program for controlling same |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20080079819A1 (en) * | 2006-09-29 | 2008-04-03 | Fujifilm Corporation | Photographing apparatus and exposure control method |
| CN101202841A (en) * | 2006-12-11 | 2008-06-18 | 株式会社理光 | Imaging apparatus and exposal control method for the same |
| CN103858043A (en) * | 2011-10-12 | 2014-06-11 | 佳能株式会社 | Imaging device, and method and program for controlling same |
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Application publication date: 20190726 |