CN107454336A - Image processing method and device, electronic installation and computer-readable recording medium - Google Patents
Image processing method and device, electronic installation and computer-readable recording medium Download PDFInfo
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- CN107454336A CN107454336A CN201710813698.2A CN201710813698A CN107454336A CN 107454336 A CN107454336 A CN 107454336A CN 201710813698 A CN201710813698 A CN 201710813698A CN 107454336 A CN107454336 A CN 107454336A
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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
- H04N23/95—Computational photography systems, e.g. light-field imaging systems
- H04N23/951—Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
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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
- H04N23/68—Control of cameras or camera modules for stable pick-up of the scene, e.g. compensating for camera body vibrations
- H04N23/681—Motion detection
- H04N23/6811—Motion detection based on the image signal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/265—Mixing
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Abstract
The present invention discloses a kind of image processing method for merging image.Merge image to be formed with the predetermined foreground image of current user action can be followed to merge by predetermined two-dimensional background image.The action message of personage area image of the predetermined foreground image according to active user in scene image renders to obtain.Image processing method includes judging whether the change in location of two frame personage's area images corresponding to two continuous frames merging image is more than predetermined threshold, and is used as present frame to merge image using former frame merging image or predetermined two-dimensional background image when change in location is more than predetermined threshold.Invention additionally discloses a kind of image processing apparatus, electronic installation and computer-readable recording medium.Image processing method and device, the electronic installation and computer-readable recording medium of embodiment of the present invention are substituted when the two continuous frames character image region associated with the predetermined foreground image of two continuous frames is unstable with stable merging image, make to merge image holding stabilization in all processes, lift Consumer's Experience.
Description
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of image processing method, image processing apparatus, electronics
Device and computer-readable recording medium.
Background technology
When carrying out video using electronic installation, electronic equipment may result in active user in the case where the state such as inadvertently falling off
The instantaneous shooting visual field for leaving camera, so as to which the action of active user can not be got with to merging the predetermined prospect in image
Image is rendered, so as to cause the foreground image merged in image of display to disappear, poor user experience.
The content of the invention
Can the embodiment provides a kind of image processing method, image processing apparatus, electronic installation and computer
Read storage medium.
The image processing method of embodiment of the present invention, which is used to handle, merges image.The merging image is carried on the back by predetermined two dimension
Scape image forms with the predetermined foreground image of current user action can be followed to merge.The predetermined foreground image is according to described current
The action message of personage area image of the user in scene image renders to obtain.Described image processing method includes：
Whether the change in location for judging to merge personage's area image described in two frames corresponding to image described in two continuous frames is more than
Predetermined threshold, merging image described in the two continuous frames include former frame and merge image and present frame merging image；With
When the change in location is more than predetermined threshold, image or the predetermined two-dimensional background figure are merged with the former frame
As merging image as the present frame.
The image processing apparatus of embodiment of the present invention, which is used to handle, merges image, and the merging image is carried on the back by predetermined two dimension
Scape image forms with the predetermined foreground image of current user action can be followed to merge.The predetermined foreground image is according to described current
The action message of personage area image of the user in scene image renders to obtain.Described image processing unit includes processor,
The processor is used to judge that the change in location of personage's area image described in two frames corresponding to merging image described in two continuous frames to be
No to be more than predetermined threshold, image is merged described in the two continuous frames includes former frame merging image and present frame merging image, with
And when the change in location is more than predetermined threshold, using the former frame merge image or the predetermined two-dimensional background image as
The present frame merges image.
The electronic installation of embodiment of the present invention includes one or more processors, memory and one or more programs.
Wherein one or more of programs are stored in the memory, and are configured to by one or more of processors
Perform, described program includes being used for the instruction for performing above-mentioned image processing method.
The computer-readable recording medium of embodiment of the present invention includes what is be used in combination with the electronic installation that can be imaged
Computer program, the computer program can be executed by processor to complete above-mentioned image processing method.
Image processing method, image processing apparatus, electronic installation and the computer-readable storage medium of embodiment of the present invention
Matter, the predetermined foreground image after rendering is being handled with predetermined two-dimensional background image when merging image, by pre- with two continuous frames
The change in location for determining the associated corresponding two continuous frames character image region of foreground image judges the degree of stability of portrait, and
Substituted when unstable with stable merging image so that merge image in all processes and remain stable, so as to improve
The usage experience of user.
The additional aspect and advantage of the present invention will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
Of the invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Substantially and it is readily appreciated that, wherein：
Fig. 1 is the schematic flow sheet of the image processing method of some embodiments of the present invention.
Fig. 2 is the schematic diagram of the image processing apparatus of some embodiments of the present invention.
Fig. 3 is the structural representation of the electronic installation of some embodiments of the present invention.
Fig. 4 is the schematic flow sheet of the image processing method of some embodiments of the present invention.
Fig. 5 is the schematic flow sheet of the image processing method of some embodiments of the present invention.
Fig. 6 is the schematic flow sheet of the image processing method of some embodiments of the present invention.
Fig. 7 (a) to Fig. 7 (e) is the schematic diagram of a scenario of structural light measurement according to an embodiment of the invention.
Fig. 8 (a) and Fig. 8 (b) is the schematic diagram of a scenario of structural light measurement according to an embodiment of the invention.
Fig. 9 is the schematic flow sheet of the image processing method of some embodiments of the present invention.
Figure 10 is the schematic flow sheet of the image processing method of some embodiments of the present invention.
Figure 11 is the schematic flow sheet of the image processing method of some embodiments of the present invention.
Figure 12 is the schematic diagram of the image processing apparatus of some embodiments of the present invention.
Figure 13 is the schematic diagram of the electronic installation of some embodiments of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and is not considered as limiting the invention.
Referring to Fig. 1, the image processing method of embodiment of the present invention, which is used to handle, merges image.Merge image by making a reservation for
Two-dimensional background image forms with the predetermined foreground image of current user action can be followed to merge.Predetermined foreground image is worked as according to described
The action message of personage area image of the preceding user in scene image renders to obtain.Image processing method includes：
02：Judge whether the change in location of two frame personage's area images corresponding to two continuous frames merging image is more than predetermined threshold
Value, two continuous frames, which merge image, includes former frame merging image and present frame merging image；With
04：When change in location is more than predetermined threshold, image or predetermined two-dimensional background image are merged as ought using former frame
Previous frame merges image.
Also referring to Fig. 2 to 3, the image processing method of embodiment of the present invention can be by the figure of embodiment of the present invention
As processing unit 100 is realized.The image processing apparatus 100 of embodiment of the present invention, which is used to handle, merges image.Merge image by
Predetermined two-dimensional background image forms with the predetermined foreground image of current user action can be followed to merge.Predetermined foreground image is according to institute
The action message for stating personage area image of the active user in scene image renders to obtain.Image processing apparatus 100 includes place
Manage device 20.Step 02 and step 04 can be realized by processor 20.
In other words, processor 20 can be used for the position for judging that two continuous frames merge two frame personage's area images corresponding to image
Put whether change is more than predetermined threshold, two continuous frames, which merge image, includes former frame merging image and present frame merging image, with
And when change in location is more than predetermined threshold, image or predetermined two-dimensional background image are merged using former frame and merge figure as present frame
Picture.
In some embodiments, predetermined foreground image includes two dimension and/or three-dimensional predetermined foreground image.Predetermined prospect
Image includes at least one of virtual portrait, real person, animals and plants, and real person eliminates active user itself.Wherein,
Virtual portrait can be animated character, such as Mario, Conan, major part son, RNB etc.；Real person can be famous
Personage, such as Hepburn Audery, handou sir, Harry Potter etc., animals and plants can be the animal or plants of animation, such as rice is old
Mouse, Donald duck, pea shooter etc..
Predetermined foreground image can follow the action message for imitating active user.Wherein, action message includes active user's
At least one of expression and limb action.In other words, current action information can only include the expression or limb of active user
Body acts, and can also include both expression and limb action of active user simultaneously.
In some embodiments, predetermined two-dimensional background image can be randomly selected or selected by active user.
The image processing apparatus 100 of embodiment of the present invention can apply to the electronic installation of embodiment of the present invention
1000.In other words, the electronic installation 1000 of embodiment of the present invention includes the image processing apparatus of embodiment of the present invention
100。
In some embodiments, electronic installation 1000 includes mobile phone, tablet personal computer, notebook computer, Intelligent bracelet, intelligence
Energy wrist-watch, intelligent helmet, intelligent glasses etc..
Image processing method, image processing apparatus 100 and the electronic installation 1000 of embodiment of the present invention render in processing
Predetermined foreground image afterwards is with predetermined two-dimensional background image when merging image, by related to the predetermined foreground image of two continuous frames
The change in location in the corresponding two continuous frames character image region of connection judges the degree of stability of portrait, and with stably when unstable
Merging image substituted so that merge image in all processes and remain stable, so as to improve the usage experience of user.
Referring to Fig. 4, in some embodiments, the image processing method of embodiment of the present invention also includes：
011：With the scene image of predeterminated frequency collection multiframe active user；
012：With the depth image of predeterminated frequency collection multiframe active user；
013：Every frame scene image and every frame depth image are handled to extract the action message of active user；
014：Predetermined foreground image is rendered according to action message so as to follow moving for active user per the predetermined foreground image of frame
Make；With
015：Predetermined foreground image and predetermined two-dimensional background image co-registration after every frame is rendered obtain multiframe and merge image
With output video image.
Referring again to Fig. 3, image processing apparatus 100 also includes visible image capturing first 11 and depth image acquisition component 12.
Step 011 can realize that step 012 can be realized by depth image acquisition component 12 by visible image capturing first 11, step 013,
Step 014 and step 015 can be realized by processor 20.
In other words, it is seen that light video camera head 11 can be used for the scene image that multiframe active user is gathered with predeterminated frequency；It is deep
Spend the depth image that image collection assembly 12 can be used for gathering multiframe active user with predeterminated frequency；Processor 20 can be used for handling
Per frame scene image and per frame depth image to extract the action message of active user, predetermined foreground picture is rendered according to action message
As so as to follow the action of active user per the predetermined foreground image of frame, and predetermined foreground image after every frame is rendered and predetermined
Two-dimensional background image co-registration obtains multiframe and merges image with output video image.
Wherein, predeterminated frequency refers to that visible image capturing first 11 and depth image acquisition component 12 gather image each second
Frame per second, the value of frame per second can be each second 30 frame, frame each second 60, frame each second 120 etc..Frame per second is higher, and video image is got over
It is smooth.The scene image of first 11 collection of visible image capturing is gray level image or coloured image, and depth image acquisition component 12 gathers
Depth image characterize each personal or object depth information in the scene comprising active user.In the specific embodiment of the present invention
In, it is seen that light video camera head 11 and depth image acquisition component 12 should use same predeterminated frequency to carry out IMAQ, in this way, multiframe
Scene image corresponds with multiframe depth image, then processor 20 obtains after handling every frame scene image and corresponding depth image
To action message can render predetermined foreground image corresponding to a frame, consequently facilitating to the predetermined foreground image of every frame in step 015
With the fusion treatment of predetermined two-dimensional background image.In addition, the scene domain of scene image is consistent with the scene domain of depth image,
And each pixel in scene image can be found in depth image to should pixel depth information.
The predetermined foreground image of every frame and corresponding predetermined two-dimensional background after it will be rendered by the action message of active user
During image co-registration, if acutely rocking so that failing to extract user's in a certain frame scene image due to electronic installation 1000
Portrait, the then predetermined foreground image that processor 20 can not be according to the action message of the active user of the frame scene image to corresponding frame
Rendered, so as to influence the fusion of the predetermined two-dimensional background image of the predetermined foreground image of the frame and corresponding frame.And former frame scene
Image can extract the action message of active user, therefore the predetermined foreground image of former frame can be rendered, and be closed
And image.Shown in this way, the merging image of former frame can be used to merge image as present frame.Certainly, also can be direct
Predetermined two-dimensional background image is shown, so as to avoid picture from acutely shaking and become the poor usage experience given user and brought.
Referring to Fig. 5, in some embodiments, step 012 gathers the depth map of multiframe active user with predeterminated frequency
As including：
0121：To active user's projective structure light；
0122：The structure light image modulated with predeterminated frequency shooting multiframe through active user；With
0123：Demodulate per phase information corresponding to each pixel of frame structure light image to obtain multiframe depth image.
Referring again to Fig. 2, in some embodiments, depth image acquisition component 12 includes the He of structured light projector 121
Structure light video camera head 122.Step 0121 can be realized by structured light projector 121.Step 0122 and step 0123 can be by
Structure light video camera head 122 is realized.
In other words, structured light projector 121 can be used for active user's projective structure light；Structure light video camera head 122 can
For the structure light image modulated with predeterminated frequency shooting multiframe through active user, and demodulation is per each of frame structure light image
Phase information corresponding to pixel is to obtain multiframe depth image.
Specifically, structured light projector 121 is by the face and body of the project structured light of certain pattern to active user
Afterwards, the structure light image after being modulated by active user can be formed in the face of active user and the surface of body.Structure light images
First 122 structure light image with preset frame rate shooting multiframe after modulated, then each frame structure light image is demodulated to obtain
To depth image corresponding with the frame structure light image, in this way, can obtain multiframe after being demodulated to multiframe structure light image
Depth image.Wherein, the pattern of structure light can be laser stripe, Gray code, sine streak, non-homogeneous speckle etc..
Referring to Fig. 6, in some embodiments, step 0123 is demodulated corresponding to each pixel of every frame structure light image
Phase information is included with obtaining multiframe depth image：
01231：Phase information corresponding to each pixel in the every frame structure light image of demodulation；
01232：Phase information is converted into depth information；With
01233：Depth image is generated according to depth information.
Referring again to Fig. 3, in some embodiments, step 01231, step 01232 and step 01233 can be by tying
Structure light video camera head 122 is realized.
In other words, it is corresponding can be further used for demodulating each pixel in every frame structure light image for structure light video camera head 122
Phase information, phase information is converted into depth information, and depth image is generated according to depth information.
Specifically, compared with non-modulated structure light, the phase information of the structure light after modulation is changed, and is being tied
The structure light showed in structure light image is to generate the structure light after distortion, wherein, the phase information of change can characterize
The depth information of object.Therefore, structure light video camera head 122 demodulates phase corresponding to each pixel in every frame structure light image first
Position information, calculates depth information, so as to obtain depth image corresponding with the frame structure light image further according to phase information.
In order that those skilled in the art be more apparent from according to structure light come gather active user face and
The process of the depth image of body, illustrated below by taking a kind of widely used optical grating projection technology (fringe projection technology) as an example
Its concrete principle.Wherein, optical grating projection technology belongs to sensu lato area-structure light.
As shown in Fig. 7 (a), when being projected using area-structure light, sine streak is produced by computer programming first,
And sine streak is projected to measured object by structured light projector 121, recycle structure light video camera head 122 to shoot striped by thing
Degree of crook after body modulation, then demodulates the curved stripes and obtains phase, then phase is converted into depth information to obtain
Depth image.The problem of to avoid producing error or error coupler, needed before carrying out depth information collection using structure light to depth
Image collection assembly 12 carries out parameter calibration, and demarcation includes geometric parameter (for example, structure light video camera head 122 and project structured light
Relative position parameter between device 121 etc.) demarcation, the inner parameter and structured light projector 121 of structure light video camera head 122
The demarcation of inner parameter etc..
Specifically, the first step, computer programming produce sine streak.Need to obtain using the striped of distortion due to follow-up
Phase, for example phase is obtained using four step phase-shifting methods, therefore the striped that four width phase differences are pi/2, then structure light are produced here
The projector 121 projects the four spokes line timesharing on measured object (mask shown in Fig. 7 (a)), and structure light video camera head 122 gathers
To the figure on such as Fig. 7 (b) left sides, while to read the striped of the plane of reference shown on the right of Fig. 7 (b).
Second step, carry out phase recovery.The bar graph that structure light video camera head 122 is modulated according to four width collected is (i.e.
Structure light image) to calculate the phase diagram by phase modulation, now obtained be to block phase diagram.Because four step Phase-shifting algorithms obtain
Result be that gained is calculated by arctan function, therefore the phase after structure light modulation is limited between [- π, π], that is,
Say, the phase after modulation exceedes [- π, π], and it can restart again.Shown in the phase main value such as Fig. 7 (c) finally given.
Wherein, it is necessary to carry out the saltus step processing that disappears, it is continuous phase that will block phase recovery during phase recovery is carried out
Position.As shown in Fig. 7 (d), the left side is the continuous phase bitmap modulated, and the right is to refer to continuous phase bitmap.
3rd step, subtract each other to obtain phase difference (i.e. phase information) by the continuous phase modulated and with reference to continuous phase, should
Phase difference characterizes depth information of the measured object with respect to the plane of reference, then phase difference is substituted into the conversion formula (public affairs of phase and depth
The parameter being related in formula is by demarcation), you can obtain the threedimensional model of the object under test as shown in Fig. 7 (e).
It should be appreciated that in actual applications, according to the difference of concrete application scene, employed in the embodiment of the present invention
Structure light in addition to above-mentioned grating, can also be other arbitrary graphic patterns.
As a kind of possible implementation, the depth information of pattern light progress active user also can be used in the present invention
Collection.
Specifically, the method that pattern light obtains depth information is that this spreads out using a diffraction element for being essentially flat board
The relief diffraction structure that there are element particular phases to be distributed is penetrated, cross section is with two or more concavo-convex step embossment knots
Structure.Substantially 1 micron of the thickness of substrate in diffraction element, each step it is highly non-uniform, the span of height can be 0.7
Micron~0.9 micron.Structure shown in Fig. 8 (a) is the local diffraction structure of the collimation beam splitting element of the present embodiment.Fig. 8 (b) is edge
The unit of the cross sectional side view of section A-A, abscissa and ordinate is micron.The speckle pattern of pattern photogenerated has
The randomness of height, and can with the difference of distance changing patterns.Therefore, depth information is being obtained using pattern light
Before, it is necessary first to the speckle pattern in space is calibrated, for example, in the range of 0~4 meter of distance structure light video camera head 122,
A reference planes are taken every 1 centimetre, then just save 400 width speckle images after demarcating, the spacing of demarcation is smaller, obtains
Depth information precision it is higher.Then, structured light projector 121 is by pattern light projection to measured object (i.e. active user)
On, the speckle pattern that the difference in height on measured object surface to project the pattern light on measured object changes.Structure light
Camera 122 is shot project speckle pattern (i.e. structure light image) on measured object after, then by speckle pattern and demarcation early stage
The 400 width speckle images preserved afterwards carry out computing cross-correlation one by one, and then obtain 400 width correlation chart pictures.Measured object in space
Position where body can show peak value on correlation chart picture, above-mentioned peak value is superimposed and after interpolation arithmetic i.e.
It can obtain the depth information of measured object.
Multi beam diffraction light is obtained after diffraction is carried out to light beam due to common diffraction element, but per beam diffraction light light intensity difference
Greatly, it is also big to the risk of human eye injury.Re-diffraction even is carried out to diffraction light, the uniformity of obtained light beam is relatively low.
Therefore, the effect projected using the light beam of common diffraction element diffraction to measured object is poor.Using collimation in the present embodiment
Beam splitting element, the element not only have the function that to collimate uncollimated rays, also have the function that light splitting, i.e., through speculum
The non-collimated light of reflection is emitted multi-beam collimation light beam, and the multi-beam collimation being emitted after collimating beam splitting element toward different angles
The area of section approximately equal of light beam, flux of energy approximately equal, and then to carry out using the scatterplot light after the beam diffraction
The effect of projection is more preferable.Meanwhile laser emitting light is dispersed to every light beam, the risk of injury human eye is reduce further, and dissipate
Spot structure light is for other uniform structure lights of arrangement, when reaching same collection effect, the consumption of pattern light
Electricity is lower.
Referring to Fig. 9, in some embodiments, step 013 handles every frame scene image and every frame depth image to carry
Taking the action message of active user includes：
0131：Identification is per the human face region in frame scene image；
0132：Depth information corresponding with human face region is obtained from depth image corresponding with scene image；
0133：The depth bounds of people's object area is determined according to the depth information of human face region；
0134：The personage area for determining to be connected and fallen into depth bounds with human face region according to the depth bounds of people's object area
Domain is to obtain personage's area image；With
0137：Personage's area image is handled to obtain the action message of active user.
Referring again to Fig. 3, in some embodiments, step 0131, step 0132, step 0133, step 0134 and step
Rapid 0137 can be realized by processor 20.
In other words, processor 20 can be further used for identifying the human face region in every frame scene image, from scene graph
Depth information corresponding with human face region is obtained in the depth image as corresponding to, personage is determined according to the depth information of human face region
The depth bounds in region, the personage for determining to be connected and fallen into depth bounds with human face region according to the depth bounds of people's object area
Region is to obtain personage's area image, and processing personage's area image is to obtain the action message of active user.
Specifically, the face area that the deep learning Model Identification trained can be used to go out in every frame scene image first
Domain, face in each frame scene image then can determine that according to each frame scene image and each one-to-one relation of frame depth image
The depth information in region.It is therefore, each in human face region because human face region includes the features such as nose, eyes, ear, lip
Individual feature depth data corresponding in depth image is different, for example, in face face depth image acquisition component 12
When, in the depth image that depth image acquisition component 12 is shot, depth data corresponding to nose may be smaller, and ear is corresponding
Depth data may be larger.Therefore, the depth information of above-mentioned human face region may be a numerical value or a numerical value model
Enclose.Wherein, when the depth information of human face region is a numerical value, the numerical value can be by making even to the depth data of human face region
It is worth to；Or can be by being worth in being taken to the depth data of human face region.
Because people's object area includes human face region, in other words, people's object area is in some depth together with human face region
In the range of, therefore, after processor 20 determines the depth information of human face region, it can be set according to the depth information of human face region
The depth bounds of people's object area, the depth bounds extraction further according to people's object area fall into the depth bounds and with human face region phase
People's object area of connection, so as to obtain personage's area image.
After processor 20 calculates personage's area image, personage's area image can be handled.Specifically, processor 20
The human face region in personage's area image can be identified first, so as to carry out Expression Recognition to human face region again；Or processor
The human face region obtained in 20 direct processing steps 0131 is to identify the expression of active user.Then, processor 20 is to every frame
Personage's area image in scene image is handled to obtain the information of active user's limb action.Wherein, active user's limb
The information of body action can be obtained by way of template matches.Processor 20 by people's object area in personage's area image with
Multiple personage's templates are matched.The head of people's object area is matched first；After the completion of being matched on head, then to fit heads
Remaining multiple personage's templates carry out the matching of the matching, i.e. upper part of the body trunk of next limbs；Match and complete in upper part of the body trunk
Afterwards, then to head and upper part of the body trunk the remaining multiple personage's templates to match carry out the matching of next limbs, i.e. upper limbs
The matching of body and lower limb body, so as to determine the information of active user's limb action according to the method for template matches.Then, processor
The expression and limb action of 20 active users that will identify that again renders to predetermined foreground image, makes in predetermined foreground image
Personage or animals and plants can follow imitate active user expression and limb action.Finally, it is pre- after processor 20 will render
Foreground image is determined with predetermined two-dimensional background image co-registration to obtain merging image.
In this way, the predetermined foreground image that can follow the expression for imitating active user and limb action can be obtained.Due to
Personage's area image is split according to depth information from every frame scene image, and the acquisition of depth information is not by environment
The image of the factors such as middle illumination, colour temperature rings, and therefore, the personage's area image extracted is more accurate, then processor 20 handles people
The expression and limb action for the active user that object area image obtains are also more accurate, so as to which it is more accurate that processor 20 can be used
Action message predetermined foreground image is rendered preferably to be followed imitation effect.
Referring to Fig. 10, in some embodiments, step 013 handles every frame scene image and every frame depth image to carry
Taking the action message of active user also includes：
0135：Handle per frame scene image to obtain the whole audience edge image of every frame scene image；With
0136：According to every frame whole audience edge image amendment personage's area image corresponding with the frame whole audience edge image.
Step 0137 processing personage's area image is included with obtaining the action message of active user：
01371：Revised personage's area image is handled to obtain the action message of active user.
Referring again to Fig. 2, in some embodiments, step 0135, step 0136 and step 01371 can be by handling
Device 20 is realized.
In other words, processor 20 can also be used to handle every frame scene image to obtain the whole audience edge of every frame scene image
Image, repaiied according to every frame whole audience edge image amendment personage's area image corresponding with the frame whole audience edge image, and processing
Personage's area image after just is to obtain the action message of active user.
Processor 20 carries out edge extracting to obtain multiframe whole audience edge image to every frame scene image first, wherein, entirely
Edge lines in field edge image include the edge lines of background object in scene residing for active user and active user.Tool
Body, edge extracting can be carried out to every frame scene image by Canny operators.Canny operators carry out the algorithm of edge extracting
Core mainly includes the following steps：First, convolution is carried out to scene image to eliminate noise with 2D gaussian filterings template；Then,
The Grad of the gray scale of each pixel, and the gradient side of the gray scale according to each pixel of Grad calculating are obtained using differential operator
To adjacent pixels of the respective pixel along gradient direction can be found by gradient direction；Then, each pixel is traveled through, if certain
The gray value of individual pixel is not maximum compared with the gray value of former and later two adjacent pixels on its gradient direction, then thinks this
Individual pixel is not marginal point.In this way, the pixel that marginal position is in scene image is can determine that, so as to obtain edge extracting
Whole audience edge image afterwards.
The corresponding frame whole audience edge image of each frame scene image, similarly, the corresponding frame personage of each frame scene image
Area image, therefore, whole audience edge image and personage's area image are one-to-one.Processor 20 obtains whole audience edge image
Afterwards, it is modified according to whole audience edge image pair personage's area image corresponding with whole audience edge image.It is appreciated that personage area
Domain be by be connected in scene image with human face region and fall into the depth bounds of setting all pixels carry out merger after obtain,
In some scenarios, it is understood that there may be some objects for being connected and being fallen into depth bounds with human face region.Therefore, the whole audience can be used
Edge graph is modified to personage's area image to obtain more accurate people's object area.
Further, processor 20 can also carry out second-order correction to revised people's object area, for example, can be to revised
People's object area carries out expansion process, expands people's object area to retain the edge details of people's object area.In this way, processor 20 is handled
The personage's area image arrived is more accurate.
After processor 20 obtains multiframe merging image, multiframe merges image sequence and arranges and store, and multiframe merges image can
Video format is stored as by processor 20 and forms video image, when video image with certain frame per second electronic installation 1000 display
When being shown on device 50 (shown in Figure 12), user is the video pictures that can watch smoothness.
Figure 11 is referred to, in some embodiments, the image processing method of embodiment of the present invention also includes：
05：When change in location is more than predetermined threshold, judge whether the duration of change in location is more than the scheduled time；With
06：When the duration being less than the scheduled time, within the duration, with the merging image of former frame or predetermined two dimension
Background image merges image as present frame.
Referring again to Fig. 3, in some embodiments, step 05 and step 06 can be realized by processor 20.It that is to say
Say, when processor 20 can be additionally used in change in location and be more than predetermined threshold, judge change in location duration whether be more than it is predetermined
Time, and when the duration being less than the scheduled time, within the duration, with the merging image of former frame or the predetermined two dimension back of the body
Scape image merges image as present frame.
In particular, it will be appreciated that when the change of personage's regional location in scene image is due to electronic installation 1000
It is unexpected that usual user can be adjusted to electronic installation 1000 in time when being produced such as shaking or fall, therefore when continuing
Between generally it is shorter, set the scheduled time, can effectively judge whether the change of shooting angle is produced by user's true intention, when continue
When time is less than the scheduled time, it is believed that this change is by surprisingly producing, and therefore, can use the stable merging figure of former frame
The merging image of picture or predetermined two-dimensional background image within the duration as present frame, so as to keep the stabilization of picture.Clapping
After taking the photograph angle adjustment time normal condition, it can be closed again through the predetermined foreground image of present frame with the generation of predetermined two-dimensional background image
And image.
Referring again to Figure 11, in some embodiments, the image processing method of embodiment of the present invention also includes：
07：When the duration being more than the scheduled time, in the given time, image or the predetermined two dimension back of the body are merged with former frame
Scape image merges image as present frame, after the scheduled time, with predetermined the two of the predetermined foreground image and present frame of present frame
Dimension background image fusion merges image to form present frame.
Referring again to Fig. 3, in some embodiments, step 07 can be realized by processor 20.In other words, processor
20 can be additionally used in when the duration being more than the scheduled time, in the given time, merge image or the predetermined two dimension back of the body with former frame
Scape image merges image as present frame, after the scheduled time, with predetermined the two of the predetermined foreground image and present frame of present frame
Dimension background image fusion merges image to form present frame.
When the duration being more than the scheduled time, it is believed that the change of shooting angle is the true intention of user, pre-
Image is merged as present frame using stable merging image or predetermined two-dimensional background image in fixing time, ensured to a certain extent
Merge the continuity of image, after the scheduled time, then carried on the back with the predetermined two dimension of the predetermined foreground image and present frame of present frame
Scape image co-registration merges image to form present frame, now, in the scene image for rendering the predetermined foreground image of the present frame
Personage's area image may be included, it is also possible to not comprising someone's object area image.For rendering the predetermined prospect of the present frame
When personage's area image is included in the scene image of image, the predetermined foreground picture of corresponding frame is rendered with frame personage's area image
Picture, and the predetermined foreground image after rendering merges image with corresponding predetermined two-dimensional background image co-registration to form present frame.
It is pre- directly with what is do not rendered when personage's area image is included in the scene image for rendering the predetermined foreground image of the present frame
Determine foreground image and merge image with corresponding predetermined two-dimensional background image co-registration to form present frame, in this way, adding predetermined prospect
The picture of the merging image of image is more abundant.
Also referring to Fig. 3 and 12, embodiment of the present invention also proposes a kind of electronic installation 1000.Electronic installation 1000 wraps
Include image processing apparatus 100.Image processing apparatus 100 can utilize hardware and/or software to realize.Image processing apparatus 100 wraps
Include imaging device 10 and processor 20.
Imaging device 10 includes visible image capturing first 11 and depth image acquisition component 12.
Specifically, it is seen that light video camera head 11 includes imaging sensor 111 and lens 112, it is seen that light video camera head 11 can be used for
The colour information of active user is caught to obtain multiframe scene image, wherein, imaging sensor 111 includes color filter lens array
(such as Bayer filter arrays), the number of lens 112 can be one or more.Visible image capturing first 11 is being obtained per frame scene graph
As during, each imaging pixel in imaging sensor 111 senses luminous intensity and wavelength information in photographed scene,
Generate one group of raw image data；Imaging sensor 111 sends this group of raw image data into processor 20, processor 20
The scene image of colour is obtained after the computings such as denoising, interpolation are carried out to raw image data.Processor 20 can be in various formats
Each image pixel in raw image data is handled one by one, for example, each image pixel there can be 8,10,12 or 14 bits
Bit depth, processor 20 can be handled each image pixel by identical or different bit depth.
Depth image acquisition component 12 includes structured light projector 121 and structure light video camera head 122, depth image collection group
The depth information that part 12 can be used for catching active user is to obtain depth image.Structured light projector 121 is used to throw structure light
Active user is incident upon, wherein, structured light patterns can be the speckle of laser stripe, Gray code, sine streak or random alignment
Pattern etc..Structure light video camera head 122 includes imaging sensor 1221 and lens 1222, and the number of lens 1222 can be one or more
It is individual.Imaging sensor 1221 is used for the multiframe structure light image that capturing structure light projector 121 is projected on active user.Per frame
Structure light image can be sent by depth acquisition component 12 to processor 20 be demodulated, phase recovery, phase information calculate etc.
Handle to obtain the depth information of active user.
In some embodiments, it is seen that the function of light video camera head 11 and structure light video camera head 122 can be by a camera
Realize, in other words, imaging device 10 only includes a camera and a structured light projector 121, and above-mentioned camera is not only
Structure light image can also be shot with photographed scene image.
Except using structure light obtain depth image in addition to, can also by binocular vision method, based on differential time of flight (Time
Of Flight, TOF) even depth obtains the depth image of active user as acquisition methods.
In addition, image processing apparatus 100 also includes memory 30.Memory 30 can be embedded in electronic installation 1000,
The memory that can be independently of outside electronic installation 1000, and may include direct memory access (DMA) (Direct Memory
Access, DMA) feature.The knot that the raw image data or depth image acquisition component 12 of first 11 collection of visible image capturing gather
Structure light image related data, which can transmit, to be stored or is cached into memory 30.Processor 20 can be read from memory 30
Raw image data also can read structure light image related data to enter to be handled to obtain scene image from memory 30
Row processing obtains depth image.In addition, scene image and depth image are also storable in memory 30, device 20 for processing with
When calling handle, for example, processor 20 calls multiframe scene image and multiframe depth image to carry out the action message of active user
Extraction, and the predetermined foreground image after being rendered via action message and corresponding predetermined two-dimensional background image progress fusion treatment
Merge image to obtain multiframe, multiframe merges image sequence arrangement or storage forms video image.Wherein, predetermined foreground image,
Predetermined two-dimensional background image, merging image, video image may be alternatively stored in memory 30.
Image processing apparatus 100 may also include display 50.Display 50 can obtain video figure directly from processor 20
Picture, also it can obtain video image from memory 30.Display 50 shows that video image is watched for user, or is drawn by figure
Hold up or graphics processor (Graphics Processing Unit, GPU) is further processed.Image processing apparatus 100
Also include encoder/decoder 60, encoder/decoder 60 can encoding and decoding scene image, depth image, predetermined foreground image,
Predetermined two-dimensional background image, the view data for merging image, video image etc., the view data of coding can be stored in memory
In 30, and it can be shown before image is shown on display 50 by decoder decompresses.Encoder/decoder 60
It can be realized by central processing unit (Central Processing Unit, CPU), GPU or coprocessor.In other words, encoder/
Decoder 60 can be any in central processing unit (Central Processing Unit, CPU), GPU and coprocessor
It is one or more.
Image processing apparatus 100 also includes control logic device 40.Imaging device 10 imaging when, processor 20 can according into
As the data that equipment obtains are analyzed to determine one or more control parameters of imaging device 10 (for example, time for exposure etc.)
Image statistics.Processor 20 sends image statistics to control logic device 40, the control imaging of control logic device 40
Equipment 10 is imaged with the control parameter determined.Control logic device 40 may include to perform one or more routines (such as firmware)
Processor and/or microcontroller.One or more routines can determine imaging device 10 according to the image statistics of reception
Control parameter.
Figure 13 is referred to, the electronic installation 1000 of embodiment of the present invention includes one or more processors 20, memory
30 and one or more programs 31.Wherein one or more programs 31 are stored in memory 30, and are configured to by one
Individual or multiple processors 20 perform.Program 31 includes being used to perform the finger of the image processing method of above-mentioned any one embodiment
Order.
For example, program 31 includes being used for the instruction for performing the image processing method described in following steps：
02：Judge whether the change in location of two frame personage's area images corresponding to two continuous frames merging image is more than predetermined threshold
Value, two continuous frames, which merge image, includes former frame merging image and present frame merging image；With
04：When change in location is more than predetermined threshold, image or predetermined two-dimensional background image are merged as ought using former frame
Previous frame merges image.
For another example program 31 also includes being used for the instruction for performing the image processing method described in following steps：
0131：Identification is per the human face region in frame scene image；
0132：Depth information corresponding with human face region is obtained from depth image corresponding with scene image；
0133：The depth bounds of people's object area is determined according to the depth information of human face region；
0134：The personage area for determining to be connected and fallen into depth bounds with human face region according to the depth bounds of people's object area
Domain is to obtain personage's area image；With
0137：Personage's area image is handled to obtain the action message of active user.
The computer-readable recording medium of embodiment of the present invention includes being combined with the electronic installation 1000 that can be imaged making
Computer program.Computer program can be performed by processor 20 to complete the image procossing of above-mentioned any one embodiment
Method.
02：Judge whether the change in location of two frame personage's area images corresponding to two continuous frames merging image is more than predetermined threshold
Value, two continuous frames, which merge image, includes former frame merging image and present frame merging image；With
04：When change in location is more than predetermined threshold, image or predetermined two-dimensional background image are merged as ought using former frame
Previous frame merges image.
For another example computer program can be also performed by processor 20 to complete the image processing method described in following steps：
0131：Identification is per the human face region in frame scene image；
0132：Depth information corresponding with human face region is obtained from depth image corresponding with scene image；
0133：The depth bounds of people's object area is determined according to the depth information of human face region；
0134：The personage area for determining to be connected and fallen into depth bounds with human face region according to the depth bounds of people's object area
Domain is to obtain personage's area image；With
0137：Personage's area image is handled to obtain the action message of active user.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description
Point is contained at least one embodiment or example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.Moreover, specific features, structure, material or the feature of description can be with office
Combined in an appropriate manner in one or more embodiments or example.In addition, in the case of not conflicting, the skill of this area
Art personnel can be tied the different embodiments or example and the feature of different embodiments or example described in this specification
Close and combine.
In addition, term " first ", " second " are only used for describing purpose, and it is not intended that instruction or hint relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the invention, " multiple " are meant that at least two, such as two, three
It is individual etc., unless otherwise specifically defined.
Any process or method described otherwise above description in flow chart or herein is construed as, and represents to include
Module, fragment or the portion of the code of the executable instruction of one or more the step of being used to realize specific logical function or process
Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable
Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system including the system of processor or other can be held from instruction
The system of row system, device or equipment instruction fetch and execute instruction) use, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicate, propagate or pass
Defeated program is for instruction execution system, device or equipment or the dress used with reference to these instruction execution systems, device or equipment
Put.The more specifically example (non-exhaustive list) of computer-readable medium includes following：Electricity with one or more wiring
Connecting portion (electronic installation), portable computer diskette box (magnetic device), random access memory (RAM), read-only storage
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device, and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium, which can even is that, to print the paper of described program thereon or other are suitable
Medium, because can then enter edlin, interpretation or if necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.Above-mentioned
In embodiment, software that multiple steps or method can be performed in memory and by suitable instruction execution system with storage
Or firmware is realized.If, and in another embodiment, can be with well known in the art for example, realized with hardware
Any one of row technology or their combination are realized：With the logic gates for realizing logic function to data-signal
Discrete logic, have suitable combinational logic gate circuit application specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method carries
Suddenly it is that by program the hardware of correlation can be instructed to complete, described program can be stored in a kind of computer-readable storage medium
In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, can also
That unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould
Block can both be realized in the form of hardware, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized in the form of software function module and as independent production marketing or in use, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only storage, disk or CD etc..Although have been shown and retouch above
Embodiments of the invention are stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the present invention
System, one of ordinary skill in the art can be changed to above-described embodiment, change, replace and become within the scope of the invention
Type.
Claims (18)
1. a kind of image processing method, merge image for handling, the merging image by predetermined two-dimensional background image with can be with
Formed with the predetermined foreground image fusion of current user action, the predetermined foreground image is according to the active user in scene graph
The action message of personage's area image as in renders to obtain, it is characterised in that described image processing method includes：
It is predetermined to judge whether the change in location for merging personage's area image described in two frames corresponding to image described in two continuous frames is more than
Threshold value, merging image described in the two continuous frames include former frame and merge image and present frame merging image；With
When the change in location is more than predetermined threshold, image is merged with the former frame or the predetermined two-dimensional background image is made
Merge image for the present frame.
2. image processing method according to claim 1, it is characterised in that described image processing method also includes：
With the scene image of predeterminated frequency collection multiframe active user；
With the depth image of active user described in predeterminated frequency collection multiframe；
Scene image described in per frame and depth image described in per frame are handled to extract the action message of the active user；
The predetermined foreground image is rendered according to the action message so as to be followed per predetermined foreground image described in frame described current
The action of user；With
The predetermined foreground image after every frame is rendered obtains multiframe with the predetermined two-dimensional background image co-registration and merges image
With output video image.
3. image processing method according to claim 1, it is characterised in that described image processing method includes step：
When the change in location is more than predetermined threshold, judge whether the duration of the change in location is more than the scheduled time；
With
When the duration being less than the scheduled time, within the duration, with the merging image of the former frame
Or the predetermined two-dimensional background image merges image as present frame.
4. image processing method according to claim 3, it is characterised in that described image processing method also includes：
When the duration being more than the scheduled time, within the scheduled time, with the former frame merge image or
The predetermined two-dimensional background image merges image as the present frame, after the scheduled time, with present frame it is predetermined before
Scape image merges image with the predetermined two-dimensional background image co-registration of present frame to form the present frame.
5. image processing method according to claim 2, it is characterised in that described with predeterminated frequency collection multiframe institute
The step of depth image for stating active user, includes：
To active user's projective structure light；
The structure light image modulated with predeterminated frequency shooting multiframe through the active user；With
Phase information corresponding to each pixel of structure light image described in per frame is demodulated to obtain depth image described in multiframe.
6. image processing method according to claim 5, it is characterised in that demodulation structure light image described in per frame
The step of phase information corresponding to each pixel is to obtain depth image described in multiframe includes：
Phase information corresponding to each pixel in demodulation structure light image described in per frame；
The phase information is converted into depth information；With
The depth image is generated according to the depth information.
7. image processing method according to claim 1, it is characterised in that the predetermined foreground image include two peacekeepings/
Or three-dimensional predetermined foreground image, the predetermined foreground image include at least one in virtual portrait, real person, animals and plants
Kind, the real person eliminates the active user itself；
The predetermined two-dimensional background image can be randomly selected or selected by the active user.
8. image processing method according to claim 1, it is characterised in that the action message includes the active user
Expression and at least one of limb action.
9. a kind of image processing apparatus, merge image for handling, the merging image by predetermined two-dimensional background image with can be with
Formed with the predetermined foreground image fusion of current user action, the predetermined foreground image is according to the active user in scene graph
The action message of personage's area image as in renders to obtain, it is characterised in that described image processing unit includes processor, institute
Processor is stated to be used for：
It is predetermined to judge whether the change in location for merging personage's area image described in two frames corresponding to image described in two continuous frames is more than
Threshold value, merging image described in the two continuous frames include former frame and merge image and present frame merging image；With
When the change in location is more than predetermined threshold, image is merged with the former frame or the predetermined two-dimensional background image is made
Merge image for the present frame.
10. image processing apparatus according to claim 9, it is characterised in that described image processing unit also includes：
Visible image capturing head, the visible image capturing head are used for the scene image that multiframe active user is gathered with predeterminated frequency；
Depth image acquisition component, the depth image acquisition component are used for currently to be used described in predeterminated frequency collection multiframe
The depth image at family；
The processor is additionally operable to：
Scene image described in per frame and depth image described in per frame are handled to extract the action message of the active user；
The predetermined foreground image is rendered according to the action message so as to be followed per predetermined foreground image described in frame described current
The action of user；With
The predetermined foreground image after every frame is rendered obtains multiframe with the predetermined two-dimensional background image co-registration and merges image
With output video image.
11. image processing apparatus according to claim 9, it is characterised in that the processor is additionally operable to：
When the change in location is more than predetermined threshold, judge whether the duration of the change in location is more than the scheduled time；
With
When the duration being less than the scheduled time, within the duration, with the merging image of the former frame
Or the predetermined two-dimensional background image merges image as present frame.
12. image processing apparatus according to claim 11, it is characterised in that the processor is additionally operable to：
When the duration being more than the scheduled time, within the scheduled time, with the former frame merge image or
The predetermined two-dimensional background image merges image as the present frame, after the scheduled time, with present frame it is predetermined before
Scape image merges image with the predetermined two-dimensional background image co-registration of present frame to form the present frame.
13. image processing apparatus according to claim 10, it is characterised in that the depth image acquisition component includes knot
Structure light projector and structure light video camera head, the structured light projector are used for active user's projective structure light；
The structure light video camera head is used for：
The structure light image modulated with predeterminated frequency shooting multiframe through the active user；With
Phase information corresponding to each pixel of structure light image described in per frame is demodulated to obtain depth image described in multiframe.
14. image processing apparatus according to claim 13, it is characterised in that institute's structure light video camera head is additionally operable to：
Phase information corresponding to each pixel in demodulation structure light image described in per frame；
The phase information is converted into depth information；With
The depth image is generated according to the depth information.
15. image processing apparatus according to claim 9, it is characterised in that the predetermined foreground image include two peacekeepings/
Or three-dimensional predetermined foreground image, the predetermined foreground image include at least one in virtual portrait, real person, animals and plants
Kind, the real person eliminates the active user itself；
The predetermined two-dimensional background image can be randomly selected or selected by the active user.
16. image processing apparatus according to claim 9, it is characterised in that the action message includes the current use
At least one of the expression at family and limb action.
17. a kind of electronic installation, it is characterised in that the electronic installation includes：
One or more processors；
Memory；With
One or more programs, wherein one or more of programs are stored in the memory, and be configured to by
One or more of computing devices, described program include being used at the image that perform claim is required described in 1 to 8 any one
The instruction of reason method.
A kind of 18. computer-readable recording medium, it is characterised in that the meter being used in combination including the electronic installation with that can image
Calculation machine program, the computer program can be executed by processor to complete the image procossing described in claim 1 to 8 any one
Method.
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