CN107705243A - 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
- Publication number
- CN107705243A CN107705243A CN201710812757.4A CN201710812757A CN107705243A CN 107705243 A CN107705243 A CN 107705243A CN 201710812757 A CN201710812757 A CN 201710812757A CN 107705243 A CN107705243 A CN 107705243A
- Authority
- CN
- China
- Prior art keywords
- image
- dimensional
- people
- predetermined
- depth
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 37
- 238000009434 installation Methods 0.000 title claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 42
- 230000009471 action Effects 0.000 claims description 26
- 238000003384 imaging method Methods 0.000 claims description 25
- 238000000034 method Methods 0.000 claims description 19
- 241001465754 Metazoa Species 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 238000009877 rendering Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims 1
- 239000011800 void material Substances 0.000 claims 1
- 210000003128 head Anatomy 0.000 description 27
- 230000006870 function Effects 0.000 description 12
- 210000003414 extremity Anatomy 0.000 description 10
- 238000003860 storage Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000011084 recovery Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000010587 phase diagram Methods 0.000 description 2
- 241000272525 Anas platyrhynchos Species 0.000 description 1
- 208000020564 Eye injury Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000005267 amalgamation Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 210000003141 lower extremity Anatomy 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 210000003733 optic disk Anatomy 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 210000001364 upper extremity Anatomy 0.000 description 1
Classifications
-
- G06T3/04—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/521—Depth or shape recovery from laser ranging, e.g. using interferometry; from the projection of structured light
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Abstract
The invention discloses a kind of image processing method, for electronic installation.Image processing method includes:Obtain the three-dimensional scene image and depth image of active user;Scene image and depth image are handled with people's object area in split sence image and except the background area beyond people's object area to obtain background area image;With predetermined three-dimensional image is merged with background area image with obtain merge image.The invention also discloses a kind of image processing apparatus, electronic installation and computer-readable recording medium.Image processing method, image processing apparatus, electronic installation and the computer-readable recording medium of embodiment of the present invention split figure and ground by depth information, so that the three-dimensional people's object area being partitioned into and three-dimensional background area are more accurate, and obtained three-dimensional background area image will be split and merge to obtain merging image with predetermined three-dimensional image, image of the active user in scene image is replaced by predetermined three-dimensional image, lifts the usage experience of user.
Description
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of image processing method and device, electronic installation and
Computer-readable recording medium.
Background technology
Existing image co-registration is typically to be merged the portrait of user with background image, but the interest of such a amalgamation mode
Taste is relatively low.
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 is used for electronic installation, and described image processing method includes:
Obtain the three-dimensional scene image and depth image of active user;
The scene image and the depth image are handled to split people's object area in the scene image and except institute
The background area beyond people's object area is stated to obtain background area image;With
Predetermined three-dimensional image is merged to obtain merging image with the background area image.
The image processing apparatus of embodiment of the present invention is used for electronic installation, and described image processing unit includes imaging device
And processor.The imaging device head is used for the three-dimensional scene image and depth image for obtaining active user.The processor
For handling the scene image and the depth image to split people's object area in the scene image and except the people
Melt to obtain background area image, and by predetermined three-dimensional image and the background area image background area beyond object area
Close to obtain merging 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 splits figure and ground so that be partitioned into after the scene image and depth image of three-dimensional is got by depth information
People's object area of three-dimensional and three-dimensional background area are more accurate, and will split obtained three-dimensional background area image with making a reservation for
3-D view, which merges to obtain, merges image, and location drawing picture of the active user in scene image is replaced (i.e., by predetermined three-dimensional image
People's object area), it is interesting higher, lift 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 structural representation of the electronic installation of some embodiments of the present invention.
Fig. 3 is the schematic diagram of the image processing apparatus 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 (a) to Fig. 6 (e) is the schematic diagram of a scenario of structural light measurement according to an embodiment of the invention.
Fig. 7 (a) and Fig. 7 (b) is the schematic diagram of a scenario of structural light measurement according to an embodiment of the invention.
Fig. 8 is the schematic flow sheet of the image processing method of some embodiments of the present 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.
Also referring to Fig. 1 to 2, the image processing method of embodiment of the present invention is used for electronic installation 1000.At image
Reason method includes:
03:Obtain the three-dimensional scene image and depth image of active user;
05:Beyond scene image and depth image are handled with people's object area in split sence image and except people's object area
Background area to obtain background area image;With
07:Predetermined three-dimensional image is merged to obtain merging image with background area image.
Also referring to Fig. 2 and Fig. 3, the image processing method of embodiment of the present invention can be by embodiment of the present invention
Image processing apparatus 100 is realized.The image processing apparatus 100 of embodiment of the present invention is used for electronic installation 1000.Image procossing
Device 100 includes imaging device 10 and processor 20.Step 03 can realize by imaging device 10, and step 05 and step 07 can be with
Realized by processor 20.
In other words, imaging device 10 is used for the three-dimensional scene image and depth image for obtaining active user;Processor
Beyond 20 can be used for processing scene image and depth image with people's object area in split sence image and except people's object area
Merged to obtain background area image, and by predetermined three-dimensional image with background area image to obtain merging figure background area
Picture.
Background area image is obtained by the scene image of three-dimensional after people's object area and background area segmentation, therefore, background
Area image is also 3-D view.
In some embodiments, predetermined three-dimensional image includes three-dimensional virtual portrait, three-dimensional real person, three-dimensional
At least one of animals and plants.Three-dimensional real person excludes active user itself.Wherein, three-dimensional virtual portrait can be three
The animated character of dimension, such as Mario, Conan, major part son, RNB etc.;Three-dimensional real person can be 3-D view
Personality, such as Hepburn Audery, handou sir, Harry Potter etc., three-dimensional animals and plants can be three-dimensional animations
Animal or plant, such as Micky Mouse, Donald duck, pea shooter etc..
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 are getting three
After the scene image and depth image of dimension, figure and ground is split by depth information so that the three-dimensional personage area being partitioned into
Domain and three-dimensional background area are more accurate, and will split obtained three-dimensional background area image and three-dimensional virtual people
The real character of thing, animals and plants or three-dimensional, which is merged to obtain, merges image, in other words, is replaced with the image of non-present user
People's object area where active user is changed, strengthens the entertaining sexual experience of user.User is not included further, since merging in image
Actual persons picture, therefore the privacy of user can be protected to a certain extent.
Referring to Fig. 4, in some embodiments, step 03 obtains the three-dimensional scene image and depth map of active user
The step of picture, includes:
031:Shoot the two dimensional image of active user;
032:To active user's projective structure light;
033:The structure light image that shooting is modulated through active user;
034:Phase information corresponding to each pixel of demodulation structure light image is to obtain depth image;With
035:Two dimensional image and the depth image are handled to obtain the scene image of three-dimensional.
Referring again to Fig. 3, in some embodiments, image processing apparatus 100 includes imaging device 10.Imaging device 10
Including visible image capturing first 11 and depth image acquisition component 12.Depth image acquisition component 12 includes structured light projector 121
With structure light video camera head 122.Step 031 can realize that step 032 can be by structured light projector by visible image capturing first 11
121 realize that step 033, step 034 and step 035 can be realized by structure light video camera head 122.
In other words, it is seen that light video camera head 11 can be used for the two dimensional image of shooting active user;Structured light projector 121 can
For to active user's projective structure light;Structure light video camera head 122 can be used for the structure light image that shooting is modulated through active user,
Phase information corresponding to each pixel of demodulation structure light image is to obtain depth image, and processing two dimensional image and the depth
Image is spent to obtain the scene image of three-dimensional..
Specifically, it is seen that light video camera head 11 shoots the two dimensional image of active user, and two dimensional image is gray level image or colour
Image.Structured light projector 121 by the project structured light of certain pattern to active user face and body on after, used currently
The face at family and the surface of body can form the structure light image after being modulated by active user.The shooting warp of structure light video camera head 122
Structure light image after modulation, then structure light image is demodulated to obtain depth image.Wherein, the pattern of structure light can be with
It is laser stripe, Gray code, sine streak, non-homogeneous speckle etc..Depth image characterizes each in the scene comprising active user
People or the depth information of object.The scene domain of two dimensional image is consistent with the scene domain of depth image, and in two dimensional image
Each pixel can be found in depth image to should pixel depth information.In this way, processor 20 can be according to depth image
In depth information to knot light video camera head 122 shoot scene carry out three-dimensional modeling, model in conjunction with two dimensional image color letter
Cease the scene progress color to three-dimensional modeling and fill up the colored scene image that can obtain three-dimensional.
Referring to Fig. 5, in some embodiments, phase corresponding to each pixel of step 034 demodulation structure light image
The step of information is to obtain depth image includes:
0341:Phase information corresponding to each pixel in demodulation structure light image;
0342:Phase information is converted into depth information;With
0343:Depth image is generated according to depth information.
Referring again to Fig. 2, in some embodiments, step 0341, step 0342 and step 0343 can be by structures
Light video camera head 122 is realized.
In other words, structure light video camera head 122 can be further used in demodulation structure light image phase corresponding to each pixel
Position 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 structure light image and believed first
Breath, calculates depth information, so as to obtain final depth 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. 6 (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. 6 (a)), and structure light video camera head 122 gathers
To the figure on such as Fig. 6 (b) left sides, while to read the striped of the plane of reference shown on the right of Fig. 6 (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. 6 (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. 6 (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. 6 (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. 7 (a) is the local diffraction structure of the collimation beam splitting element of the present embodiment.Fig. 7 (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. 8, in some embodiments, step 05 handles the scene image and the depth image to split
People's object area in the scene image and except the background area beyond people's object area to obtain background area image bag
Include:
051:Identify the human face region in scene image;
052:Depth information corresponding with human face region is obtained from scene image or depth image;
053:The depth bounds of people's object area is determined according to the depth information of human face region;
054: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;
055:The background area image is determined according to people's object area and the scene image.
Referring again to Fig. 3, in some embodiments, step 051, step 052, step 053, step 054 and step 055
It can be realized by processor 20.
In other words, processor 20 can be further used for identifying the human face region in scene image, from scene image or depth
Spend and depth information corresponding with human face region is obtained in image, the depth of people's object area is determined according to the depth information of human face region
Scope, the people's object 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, and
The background area image is determined according to people's object area and the scene image.
Specifically, the human face region that the deep learning Model Identification trained can be used to go out in scene image first, with
Afterwards, because the scene image of three-dimensional is in addition to comprising color information, also comprising depth information, therefore can be directly according to the scene of three-dimensional
Image obtains the depth information of human face region, or, also people can be determined according to the corresponding relation of two dimensional image and depth image
The depth information in face region.Because human face region includes the features such as nose, eyes, ear, lip, therefore, in human face region
Each feature depth data corresponding in the scene image or depth image of three-dimensional is different, for example, in face face
During depth image acquisition component 12, in the depth image that depth image acquisition component 12 is shot, depth data corresponding to nose
May be smaller, and depth data corresponding to ear may be larger.Therefore, the depth information of above-mentioned human face region may be one
Numerical value or a number range.Wherein, when the depth information of human face region is a numerical value, the numerical value can be by face
The depth data in region averages to obtain;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.After determining people's object area, the part in scene image except people's object area is the portion of background area
Point, processor 20 will be extracted in scene image except the part outside people's object area, you can obtain background area image.
In this way, people's object area and background area can be partitioned into obtain background area from scene image according to depth information
Area image.Because the image for obtaining the not factor such as illumination, colour temperature in by environment of depth information rings, therefore, the background extracted
Area image is more accurate.
Referring to Fig. 9, in some embodiments, image processing method is further comprising the steps of:
061:Scene image is handled to obtain the whole audience edge image of scene image;With
062:According to whole audience edge image amendment background area image.
Referring again to Fig. 2, in some embodiments, step 061 and step 062 can be realized by processor 20.
In other words, processor 20 can also be used to handle scene image to obtain the whole audience edge image of scene image, with
And according to whole audience edge image amendment background area image.
Processor 20 carries out edge extracting to obtain whole audience edge image to scene image first, wherein, whole audience edge graph
Edge lines as in include the edge lines of background object in scene residing for active user and active user.Specifically, may be used
Edge extracting is carried out to scene image by Canny operators.The core that Canny operators carry out the algorithm of edge extracting mainly includes
The following steps:First, convolution is carried out to scene image to eliminate noise with 2D gaussian filterings template;Then, differential operator is utilized
The Grad of the gray scale of each pixel, and the gradient direction of the gray scale according to each pixel of Grad calculating are obtained, passes through gradient
Direction can find adjacent pixels of the respective pixel along gradient direction;Then, each pixel is traveled through, if the gray scale of some pixel
Value is not maximum compared with the gray value of former and later two adjacent pixels on its gradient direction, then it is not side to think this pixel
Edge point.In this way, the pixel that marginal position is in scene image is can determine that, so as to obtain the whole audience edge after edge extracting
Image.
After processor 20 obtains whole audience edge image, background area image is modified further according to whole audience edge image,
Specifically, people's object area is modified first with whole audience edge image, determined finally further according to revised people's object area
Background area image.It is appreciated that people's object area is will to be connected and fall into the depth of setting in scene image with human face region
Obtained after all pixels progress merger of scope, in some scenarios, it is understood that there may be some are connected and fallen into human face region
Object in depth bounds.Therefore, whole audience edge graph can be used to be modified to people's object area to obtain more accurate personage
Region, background area is determined further according to the higher people's object area of the degree of accuracy.In this way, the background area image finally given is also more
Accurately.
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.Then, processor 20 is further
Background area is determined according to more accurate people's object area, then the precision of the background area image finally given is higher.
Referring to Fig. 10, in some embodiments, the image processing method of embodiment of the present invention also includes:
063:Scene image and depth image are handled to extract the action message of active user;With
064:Predetermined three-dimensional image is rendered according to action message so that predetermined three-dimensional image follows the action of active user;
Step 07 merges predetermined three-dimensional image with background area image to include the step of obtaining and merge image:
071:Predetermined three-dimensional image after rendering is merged with background area image to obtain merging image.
Referring again to Fig. 2, in some embodiments, step 063, step 064 and step 071 can be real by processor 20
It is existing.In other words, processor 20 can be used for processing scene image and depth image to extract the action message of active user, according to
Action message renders predetermined three-dimensional image so that predetermined three-dimensional image follows the action of active user, and predetermined after rendering
3-D view is merged with background area image to obtain merging image.
Wherein, action message includes at least one of expression and limb action of active user.In other words, action letter
Breath can be the expression of active user, or the limb action of active user can also be the expression and limbs of active user
Action.
Specifically, in step 05, processor 20 has identified human face region, and has been partitioned into people's object area and background
Region, therefore, when performing step 063, processor 20 identifies the expression of active user by handling human face region, and right
People's object area is handled to obtain the information of active user's limb action.Wherein, the information of active user's limb action can be with
Obtained by way of template matches.Processor 20 is matched people's object area with multiple personage's templates.People is matched first
The head of object area;After the completion of being matched on head, then next limbs are carried out to remaining multiple personage's templates of fit heads
Matching, i.e. upper part of the body trunk matching;After the completion of the matching of upper part of the body trunk, then head and upper part of the body trunk are matched
Remaining multiple personage's templates carry out the matching of the matching, i.e. upper limb body and lower limb body of next limbs, so as to according to template matches
Method determine the information of active user's limb action.Then, processor 20 according to the expression of the active user that will identify that and
Limb action renders to predetermined three-dimensional image, enables the personage in predetermined three-dimensional image or animals and plants to follow imitation current
The expression and limb action of user.Finally, the predetermined three-dimensional image after processor 20 will render merged with background area image with
Obtain merging image.In this way, active user can be substituted by the personage of three-dimensional or animals and plants, the interest of image co-registration is lifted.
Refer to Figure 11, in some embodiments, step 07 predetermined three-dimensional image is merged with background area image with
Obtaining merging image includes:
072:Compare predetermined three-dimensional image and the size of the size of people's object area;
073:When the size of predetermined three-dimensional image is more than the size of people's object area, reduces predetermined three-dimensional image and be filled into
People's object area in scene image merges image to merge to obtain;With
074:When the size of predetermined three-dimensional image is less than the size of people's object area, amplifies predetermined three-dimensional image and be filled into
People's object area in scene image merges image to merge to obtain, or predetermined three-dimensional image is filled into the personage in scene image
Region, and utilize the space between people's object area adjoining pixel filling predetermined three-dimensional image and people's object area.
Referring again to Fig. 2, in some embodiments, step 072, step 073 and step 074 can be by processors 20
Realize.In other words, processor 20 can be additionally used in the size for comparing the size of predetermined three-dimensional image and people's object area, predetermined three
When the size of dimension image is more than the size of people's object area, predetermined three-dimensional image and the people's object area being filled into scene image are reduced
Obtain merging image with fusion, and when the size of predetermined three-dimensional image is less than the size of people's object area, amplify predetermined three-dimensional
Image and people's object area for being filled into scene image merges image to merge to obtain, or predetermined three-dimensional image is filled into scene
People's object area in image, and utilize the sky between people's object area adjoining pixel filling predetermined three-dimensional image and people's object area
Gap.
Specifically, due between active user and visible image capturing first 11 collection distance be not it is fixed, therefore, scene
The size of people's object area is nor fixed in image.In this way, background area image is being merged with predetermined three-dimensional image
Before, it is necessary first to compare the size of people's object area and predetermined three-dimensional image.Wherein, size includes people's object area and made a reservation for
The height and width of 3-D view., can basis when the width and height of predetermined three-dimensional image are bigger than the size of people object area
The size of people's object area determines suitable height and the diminution value of width, and predetermined three-dimensional image is contracted according to diminution value
It is small, so that predetermined three-dimensional image is filled into the part where people's object area in scene image.In the height of predetermined three-dimensional image
When the height and width of people's object area are respectively less than with width, suitable height and width can be determined according to the size of people's object area
Value of magnification, and the portion to be filled into scene image where people's object area is amplified according to value of magnification to predetermined three-dimensional image
Point;Or predetermined three-dimensional image is directly filled into part in scene image where people's object area with original size, recycle
Pixel around people's object area is filled up to the space between predetermined three-dimensional image and people's object area.In predetermined three-dimensional image
Width be more than people's object area width, and the height of predetermined three-dimensional image be less than people's object area height when, can be according to personage area
The height in domain suitably reduces the width of predetermined three-dimensional image, and suitably amplifies predetermined three-dimensional image according to the height of people's object area
Highly, and by the predetermined three-dimensional image after adjustment size it is filled into the part in scene image where people's object area.Predetermined three
Tie up image height be more than people's object area height, and the width of predetermined three-dimensional image be less than people's object area width when, can root
The height of predetermined three-dimensional image is suitably reduced according to the height of people's object area, and suitably amplifies predetermined three according to the width of people's object area
The width of image is tieed up, and the predetermined three-dimensional image after adjustment size is filled into the part in scene image where people's object area.
In some embodiments, predetermined three-dimensional image can be randomly selected by processor 20, or by active user certainly
Row is selected.
Processor 20 is obtained after merging image, and merging image can be on the display 50 (shown in Figure 12) of electronic installation 1000
It has been shown that, can also be printed by the printer being connected with electronic installation 1000.
Also referring to Fig. 2 and Figure 12, embodiment of the present invention also proposes a kind of electronic installation 1000.Electronic installation 1000
Including image processing apparatus 100.Image processing apparatus 100 can utilize hardware and/or software to realize.Image processing apparatus 100
Including 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 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 obtaining scene image process
In, each imaging pixel in imaging sensor 111 senses luminous intensity and wavelength information in photographed scene, generation one
Group raw image data;Imaging sensor 111 sends this group of raw image data into processor 20, and processor 20 is to original
View data obtains colored two dimensional image after carrying out the computings such as denoising, interpolation.Processor 20 can be in various formats to original
Each image pixel in view data is handled one by one, for example, each image pixel can have the locating depth of 8,10,12 or 14 bits
Degree, 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 structure light image that capturing structure light projector 121 is projected on active user.Structure light figure
As can be sent by depth acquisition component 12 to processor 20 be demodulated, the processing such as phase recovery, phase information calculate to be 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
Two dimensional image can be shot, can also shoot structure light 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 two dimensional image from memory 30
Row processing obtains depth image, can also read raw image data from memory 30 and from structure light image related data carries out
Manage to obtain the colored scene image of three-dimensional.In addition, two dimensional image, three-dimensional scene image and depth image are also storable in
In memory 30, calling is handled device 20 for processing at any time, for example, processor 20 calls scene image and depth image to be carried on the back
Scene area is extracted, and the obtained background area image after extraction is carried out into fusion treatment to be merged with predetermined three-dimensional image
Image.Wherein, predetermined three-dimensional image and merging image may be alternatively stored in memory 30.
Image processing apparatus 100 may also include display 50.Display 50 can obtain merging figure directly from processor 20
Picture, it can also be obtained from memory 30 and merge image.The display of display 50 merges image so that user watches, 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 two dimensional image, three-dimensional scene image, depth map
Picture, predetermined three-dimensional image and the view data for merging image etc., the view data of coding can be saved in memory 30, and can
To be shown before image is shown on display 50 by decoder decompresses.Encoder/decoder 60 can be by center
Processor (Central Processing Unit, CPU), GPU or coprocessor are realized.In other words, encoder/decoder 60
Can be in central processing unit (Central Processing Unit, CPU), GPU and coprocessor any one or it is more
Kind.
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:
03:Obtain the three-dimensional scene image and depth image of active user;
05:Beyond scene image and depth image are handled with people's object area in split sence image and except people's object area
Background area to obtain background area image;With
07:Predetermined three-dimensional image is merged to obtain merging image with background area image.
For another example program 31 also includes being used for the instruction for performing the image processing method described in following steps:
051:Identify the human face region in scene image;
052:Depth information corresponding with human face region is obtained from scene image or depth image;
053:The depth bounds of people's object area is determined according to the depth information of human face region;
054: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;
055:The background area image is determined according to people's object area and the scene image.
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.
For example, computer program can be performed by processor 20 to complete the image processing method described in following steps:
03:Obtain the three-dimensional scene image and depth image of active user;
05:Beyond scene image and depth image are handled with people's object area in split sence image and except people's object area
Background area to obtain background area image;With
07:Predetermined three-dimensional image is merged to obtain merging image with background area image.
051:Identify the human face region in scene image;
052:Depth information corresponding with human face region is obtained from scene image or depth image;
053:The depth bounds of people's object area is determined according to the depth information of human face region;
054: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;
055:The background area image is determined according to people's object area and the scene image.
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.
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 (16)
1. a kind of image processing method, for electronic installation, it is characterised in that described image processing method includes:
Obtain the three-dimensional scene image and depth image of active user;
The scene image and the depth image are handled to split people's object area in the scene image and except the people
Background area beyond object area is to obtain background area image;With
Predetermined three-dimensional image is merged to obtain merging image with the background area image.
2. image processing method according to claim 1, it is characterised in that the three-dimensional scene for obtaining active user
The step of image and depth image, includes:
Shoot the two dimensional image of the active user;
To active user's projective structure light;
The structure light image that shooting is modulated through the active user;With
Phase information corresponding to each pixel of the structure light image is demodulated to obtain the depth image;With
The two dimensional image and the depth image are handled to obtain the scene image of three-dimensional.
3. image processing method according to claim 2, it is characterised in that described to demodulate each of the structure light image
The step of phase information corresponding to pixel is to obtain the depth image includes:
Demodulate phase information corresponding to each pixel in the structure light image;
The phase information is converted into depth information;With
The depth image is generated according to the depth information.
4. image processing method according to claim 1, it is characterised in that the predetermined three-dimensional image includes three-dimensional void
At least one of anthropomorphic thing, three-dimensional real person, three-dimensional animals and plants, the three-dimensional real person eliminate described work as
Preceding user itself.
5. image processing method according to claim 1, it is characterised in that described image processing method also includes:
The scene image and the depth image are handled to extract the action message of the active user;With
The predetermined three-dimensional image is rendered according to the action message so that the predetermined three-dimensional image follows the active user
Action;
It is described to merge the predetermined three-dimensional image with the background area image to include the step of obtaining and merge image:
The predetermined three-dimensional image after rendering is merged with the background area image to obtain the merging image.
6. image processing method according to claim 5, it is characterised in that the action message includes the active user
Expression and/or limb action.
7. image processing method according to claim 1, it is characterised in that described by predetermined three-dimensional image and the background
Area image is merged to include the step of obtaining and merge image:
Compare the predetermined three-dimensional image and the size of the size of people's object area;
When the size of the predetermined three-dimensional image is more than the size of people's object area, reduces the predetermined three-dimensional image and fill out
It is charged into people's object area in the scene image and merges image to merge to obtain;With
When the size of the predetermined three-dimensional image is less than the size of people's object area, amplifies the predetermined three-dimensional image and fill out
It is charged into people's object area in the scene image and merges image to merge to obtain, or the predetermined three-dimensional image is filled into
People's object area in the scene image, and utilize preset three-dimensional described in the adjoining pixel filling of people's object area
Picture and the space between people's object area.
8. a kind of image processing apparatus, for electronic installation, it is characterised in that described image processing unit includes:
Imaging device, the imaging device are used for the three-dimensional scene image and depth image for obtaining active user;With
Processor, the processor are used for:
The scene image and the depth image are handled to split people's object area in the scene image and except the people
Background area beyond object area is to obtain background area image;With
Predetermined three-dimensional image is merged to obtain merging image with the background area image.
9. image processing apparatus according to claim 8, it is characterised in that the imaging device includes visible image capturing head
With depth image acquisition component, the depth image acquisition component includes structured light projector and structure light video camera head, it is described can
See that light video camera head is used for the two dimensional image for shooting the active user;
The structured light projector is used for active user's projective structure light;
The structure light video camera head is used for:
The structure light image that shooting is modulated through the active user;
Phase information corresponding to each pixel of the structure light image is demodulated to obtain the depth image;With
The two dimensional image and the depth image are handled to obtain the scene image of three-dimensional.
10. image processing apparatus according to claim 9, it is characterised in that the structure light video camera head is further used for:
Demodulate phase information corresponding to each pixel in the structure light image;
The phase information is converted into depth information;With
The depth image is generated according to the depth information.
11. image processing apparatus according to claim 8, it is characterised in that the predetermined three-dimensional image includes three-dimensional
At least one of virtual portrait, three-dimensional real person, three-dimensional animals and plants, the three-dimensional real person eliminates described
Active user itself.
12. image processing apparatus according to claim 8, it is characterised in that the processor is additionally operable to:
The scene image and the depth image are handled to extract the action message of the active user;
The predetermined three-dimensional image is rendered according to the action message so that the predetermined three-dimensional image follows the active user
Action;
The predetermined three-dimensional image after rendering is merged with the background area image to obtain the merging image.
13. image processing apparatus according to claim 12, it is characterised in that the action message includes the current use
The expression and/or limb action at family.
14. image processing apparatus according to claim 8, it is characterised in that the processor is additionally operable to:
Compare the predetermined three-dimensional image and the size of the size of people's object area;
When the size of the predetermined three-dimensional image is more than the size of people's object area, reduces the predetermined three-dimensional image and fill out
It is charged into people's object area in the scene image and merges image to merge to obtain;With
When the size of the predetermined three-dimensional image is less than the size of people's object area, amplifies the predetermined three-dimensional image and fill out
It is charged into people's object area in the scene image and merges image to merge to obtain, or the predetermined three-dimensional image is filled into
People's object area in the scene image, and utilize preset three-dimensional described in the adjoining pixel filling of people's object area
Picture and the space between people's object area.
15. 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 7 any one
The instruction of reason method.
A kind of 16. 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 7 any one
Method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710812757.4A CN107705243A (en) | 2017-09-11 | 2017-09-11 | Image processing method and device, electronic installation and computer-readable recording medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710812757.4A CN107705243A (en) | 2017-09-11 | 2017-09-11 | Image processing method and device, electronic installation and computer-readable recording medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107705243A true CN107705243A (en) | 2018-02-16 |
Family
ID=61172437
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710812757.4A Pending CN107705243A (en) | 2017-09-11 | 2017-09-11 | Image processing method and device, electronic installation and computer-readable recording medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107705243A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110060205A (en) * | 2019-05-08 | 2019-07-26 | 北京迈格威科技有限公司 | Image processing method and device, storage medium and electronic equipment |
CN110675499A (en) * | 2019-07-23 | 2020-01-10 | 电子科技大学 | Three-dimensional modeling method based on binocular structured light three-dimensional scanning system |
CN111145189A (en) * | 2019-12-26 | 2020-05-12 | 成都市喜爱科技有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
CN111223192A (en) * | 2020-01-09 | 2020-06-02 | 北京华捷艾米科技有限公司 | Image processing method and application method, device and equipment thereof |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101452582A (en) * | 2008-12-18 | 2009-06-10 | 北京中星微电子有限公司 | Method and device for implementing three-dimensional video specific action |
US20150022642A1 (en) * | 2013-07-16 | 2015-01-22 | Texas Instruments Incorporated | Super-Resolution in Structured Light Imaging |
CN106502388A (en) * | 2016-09-26 | 2017-03-15 | 惠州Tcl移动通信有限公司 | A kind of interactive movement technique and head-wearing type intelligent equipment |
CN106652291A (en) * | 2016-12-09 | 2017-05-10 | 华南理工大学 | Indoor simple monitoring and alarming system and method based on Kinect |
CN106791347A (en) * | 2015-11-20 | 2017-05-31 | 比亚迪股份有限公司 | A kind of image processing method, device and the mobile terminal using the method |
CN107025635A (en) * | 2017-03-09 | 2017-08-08 | 广东欧珀移动通信有限公司 | Processing method, processing unit and the electronic installation of image saturation based on the depth of field |
-
2017
- 2017-09-11 CN CN201710812757.4A patent/CN107705243A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101452582A (en) * | 2008-12-18 | 2009-06-10 | 北京中星微电子有限公司 | Method and device for implementing three-dimensional video specific action |
US20150022642A1 (en) * | 2013-07-16 | 2015-01-22 | Texas Instruments Incorporated | Super-Resolution in Structured Light Imaging |
CN106791347A (en) * | 2015-11-20 | 2017-05-31 | 比亚迪股份有限公司 | A kind of image processing method, device and the mobile terminal using the method |
CN106502388A (en) * | 2016-09-26 | 2017-03-15 | 惠州Tcl移动通信有限公司 | A kind of interactive movement technique and head-wearing type intelligent equipment |
CN106652291A (en) * | 2016-12-09 | 2017-05-10 | 华南理工大学 | Indoor simple monitoring and alarming system and method based on Kinect |
CN107025635A (en) * | 2017-03-09 | 2017-08-08 | 广东欧珀移动通信有限公司 | Processing method, processing unit and the electronic installation of image saturation based on the depth of field |
Non-Patent Citations (2)
Title |
---|
李博 等: "《全国高等院校"十三五"规划教材 3D打印技术》", 30 August 2017, 中国轻工业出版社 * |
王辉: "《数字化全息三维显示与检测》", 30 November 2013, 上海交通大学出版社 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110060205A (en) * | 2019-05-08 | 2019-07-26 | 北京迈格威科技有限公司 | Image processing method and device, storage medium and electronic equipment |
CN110675499A (en) * | 2019-07-23 | 2020-01-10 | 电子科技大学 | Three-dimensional modeling method based on binocular structured light three-dimensional scanning system |
CN110675499B (en) * | 2019-07-23 | 2023-04-11 | 电子科技大学 | Three-dimensional modeling method based on binocular structured light three-dimensional scanning system |
CN111145189A (en) * | 2019-12-26 | 2020-05-12 | 成都市喜爱科技有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
CN111145189B (en) * | 2019-12-26 | 2023-08-08 | 成都市喜爱科技有限公司 | Image processing method, apparatus, electronic device, and computer-readable storage medium |
CN111223192A (en) * | 2020-01-09 | 2020-06-02 | 北京华捷艾米科技有限公司 | Image processing method and application method, device and equipment thereof |
CN111223192B (en) * | 2020-01-09 | 2023-10-03 | 北京华捷艾米科技有限公司 | Image processing method, application method, device and equipment thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107610077A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107742296A (en) | Dynamic image generation method and electronic installation | |
CN107734267A (en) | Image processing method and device | |
CN107707839A (en) | Image processing method and device | |
CN107707835A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107509045A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107707831A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107707838A (en) | Image processing method and device | |
CN107705243A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107590793A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107610078A (en) | Image processing method and device | |
CN107613223A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107734264A (en) | Image processing method and device | |
CN107644440A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107705278A (en) | The adding method and terminal device of dynamic effect | |
CN107509043A (en) | Image processing method and device | |
CN107454336A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107527335A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107610076A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107613228A (en) | The adding method and terminal device of virtual dress ornament | |
CN107705277A (en) | Image processing method and device | |
CN107592491A (en) | Video communication background display methods and device | |
CN107613239A (en) | Video communication background display methods and device | |
CN107622495A (en) | Image processing method and device, electronic installation and computer-readable recording medium | |
CN107734265A (en) | Image processing method and device, electronic installation and computer-readable recording medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information |
Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
|
CB02 | Change of applicant information | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180216 |
|
RJ01 | Rejection of invention patent application after publication |