CN108765274A - A kind of image processing method, device and computer storage media - Google Patents
A kind of image processing method, device and computer storage media Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of image processing method, device and computer storage medias.The method includes：The first image is obtained, the target object in described first image is identified, obtains the first limbs detection information of the target object；Target limbs detection information is obtained, the first limbs detection information is adjusted based on the target limbs detection information, anamorphose processing is carried out to described first image based on the first limbs detection information after adjustment, generates the second image.
Description
Technical field
The present invention relates to image processing techniques, and in particular to a kind of image processing method, device and computer storage media.
Background technology
With the rapid development of Internet technology, there are various image processing tools, it can be to the personage couple in image
It is allowed as being handled, such as to stature progress such as " the thin leg ", " thin arm " or " thin waist " etc. of the who object in image
The stature of personage is more perfectly handled.However, this image processing operations need operator to be manually operated, and need repeatedly
Adjustment operation can be only achieved ideal adjustment effect, if also, user using the target person in template as adjust target, it is expected that
The stature of who object in image is adjusted according to the target person in template, then more multiple adjustment is needed to operate
Could be close to the effect of the target person in template, and user is not aware that the related ginseng of the stature of the target person in template
Number, user are only capable of manually adjusting by experience, and the effect is unsatisfactory after often adjusting.
Invention content
To solve existing technical problem, a kind of image processing method of offer of the embodiment of the present invention, device and calculating
Machine storage medium.
In order to achieve the above objectives, the technical solution of the embodiment of the present invention is realized in：
An embodiment of the present invention provides a kind of image processing method, the method includes：
The first image is obtained, the target object in described first image is identified, obtains the first limbs of the target object
Detection information；
Obtain target limbs detection information, based on the target limbs detection information to the first limbs detection information into
Row adjustment carries out anamorphose processing to described first image based on the first limbs detection information after adjustment, generates the
Two images.
In said program, the first limbs detection information includes limbs key point information and/or limbs contour point information；
The limbs key point information includes the coordinate information of limbs key point；
The limbs contour point information includes the coordinate information of limbs profile point.
In said program, the limbs profile point includes following at least one：Arm geometry point, hand profile point, shoulder
Profile point, leg profile point, foot's profile point, waist profile point；
The limbs key point includes following at least one：Arm key point, hand key point, shoulder key point, leg
Key point, foot's key point, waist key point.
It is described that the first limbs detection information is adjusted based on the target limbs detection information in said program
It is whole, anamorphose processing is carried out to described first image based on the first limbs detection information after adjustment, including：
It is the second limbs detection information, base to adjust the first limbs detection information based on the target limbs detection information
Anamorphose processing is carried out to described first image in the second limbs detection information.
It is described to be based on the target limbs detection information to adjust the first limbs detection information being second in said program
Limbs detection information, including：
Configuration information is obtained, is examined at least partly limbs in the first limbs detection information based on the configuration information
Measurement information according in the target limbs detection information, at least partly mesh corresponding at least partly limbs detection information
Mark limbs detection information is adjusted, and obtains the second limbs detection information.
In said program, it is described based on the configuration information by at least partly limbs in the first limbs detection information
Detection information according in the target limbs detection information, it is corresponding at least partly at least partly limbs detection information
Target limbs detection information is adjusted, including：
The adjustment basic parameter in the first limbs detection information is determined based on the configuration information；
Keep it is described adjustment basic parameter it is constant, by the first limbs detection information at least partly limbs detect letter
Breath according in the target limbs detection information, at least partly target limb corresponding at least partly limbs detection information
Physical examination measurement information is adjusted.
In said program, the first limbs detection information based on after adjustment carries out image to described first image
Deformation process, including：
The first limbs detection information based on after adjustment carries out image or less at least one to described first image
Kind processing：Stretch processing, compression processing, enhancing processing.
In said program, the first limbs detection information based on after adjustment carries out image to described first image
Deformation process generates the second image, including：
Anamorphose processing is carried out to the corresponding limbs region of the first limbs detection information, obtains the first processing knot
Fruit generates the second image based on first handling result；Anamorphose treated limbs area in first handling result
Domain meets the first limbs detection information after adjustment.
It is described that anamorphose processing is carried out to the corresponding limbs region of the first limbs detection information in said program,
Including：
Following at least one limbs region corresponding to the first limbs information carries out anamorphose processing：Shoulder area
Domain, chest area, lumbar region, leg area, arm regions, hand region, foot areas.
In said program, the method further includes：Other than the corresponding limbs region of the first limbs detection information
At least partly background area carries out anamorphose processing, obtains second processing result；
It is described that second image is generated based on first handling result, including：Based on first handling result and described
Second processing result generates the second image.
It is described that anamorphose processing is carried out to the corresponding limbs region of the first limbs detection information in said program,
Including：
Image is carried out to the limbs region based on the first kind deformation parameter that each pair of point in the limbs region is answered
Deformation process；
Wherein, the contour edge that the first kind deformation parameter is formed with corresponding point to the limbs contour point information
The distance between variation and change.
In said program, at least partly background area other than the corresponding limbs region to the first limbs information
Anamorphose processing is carried out, including：
The the second class deformation parameter answered based on each pair of point in at least partly background area to it is described at least partly
Background area carries out anamorphose processing；
Wherein, the second class deformation parameter with corresponding point to the target object the distance between contour edge
Variation and variation exponentially times.
The embodiment of the present invention additionally provides a kind of image processing apparatus, and described device includes：Acquiring unit and image procossing
Unit；Wherein,
The acquiring unit identifies the target object in described first image, obtains the mesh for obtaining the first image
Mark the first limbs detection information of object；It is additionally operable to obtain target limbs detection information；
Described image processing unit, for based on the target limbs detection information to the first limbs detection information into
Row adjustment carries out anamorphose processing to described first image based on the first limbs detection information after adjustment, generates the
Two images.
In said program, the first limbs detection information includes limbs key point information and/or limbs contour point information；
The limbs key point information includes the coordinate information of limbs key point；
The limbs contour point information includes the coordinate information of limbs profile point.
In said program, the limbs profile point includes following at least one：Arm geometry point, hand profile point, shoulder
Profile point, leg profile point, foot's profile point, waist profile point；
The limbs key point includes following at least one：Arm key point, hand key point, shoulder key point, leg
Key point, foot's key point, waist key point.
In said program, described image processing unit, for adjusting described first based on the target limbs detection information
Limbs detection information is the second limbs detection information, and image is carried out to described first image based on the second limbs detection information
Deformation process.
In said program, described image processing unit, for obtaining configuration information, based on the configuration information by described the
At least partly limbs detection information in one limbs detection information is according in the target limbs detection information and at least portion
Divide the corresponding at least partly target limbs detection information of limbs detection information to be adjusted, obtains the second limbs detection information.
In said program, described image processing unit, for determining that first limbs detect based on the configuration information
Adjustment basic parameter in information；Keep the adjustment basic parameter it is constant, by the first limbs detection information at least
Part of limb detection information according in the target limbs detection information, it is corresponding at least partly limbs detection information
At least partly target limbs detection information is adjusted.
In said program, described image processing unit is used for based on the first limbs detection information after adjustment to institute
It states the first image and carries out at least one processing of image or less：Stretch processing, compression processing, enhancing processing.
In said program, described image processing unit, for the corresponding limbs region of the first limbs detection information
Anamorphose processing is carried out, the first handling result is obtained, the second image is generated based on first handling result；At described first
It manages anamorphose treated limbs region in result and meets the first limbs detection information after adjustment.
In said program, described image processing unit is additionally operable to the corresponding limbs area of the first limbs detection information
At least partly background area other than domain carries out anamorphose processing, obtains second processing result；Based on the first processing knot
Fruit and the second processing result generate the second image.
In said program, described image processing unit is used for below corresponding to the first limbs detection information at least
One limbs region carries out anamorphose processing：Shoulder regions, chest area, lumbar region, leg area, arm regions, hand
Portion region, foot areas.
In said program, described image processing unit, first for being answered based on each pair of point in the limbs region
Class deformation parameter carries out anamorphose processing to the limbs region；Wherein, the first kind deformation parameter is with corresponding point
The variation of the distance between the contour edge formed to the limbs contour point information and change.
In said program, described image processing unit, for based on each pair of point in at least partly background area
The the second class deformation parameter answered carries out anamorphose processing at least partly background area；Wherein, the second class deformation
Parameter exponentially variation again with the variation of corresponding point to the distance between the contour edge of the target object.
The embodiment of the present invention additionally provides a kind of computer readable storage medium, is stored thereon with computer instruction, this refers to
The step of the method for the embodiment of the present invention is realized when order is executed by processor.
The embodiment of the present invention additionally provides a kind of image processing apparatus, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, the processor are realized when executing described program described in the embodiment of the present invention
The step of method.
The embodiment of the present invention additionally provides a kind of computer program product, and the computer program product includes that computer can
It executes instruction, after which is performed, can realize the step of described image processing method of the embodiment of the present invention
Suddenly.
Image processing method, device and computer storage media provided in an embodiment of the present invention, the method includes：It obtains
First image identifies the target object in described first image, obtains the first limbs detection information of the target object；It obtains
Target limbs detection information is adjusted the first limbs detection information based on the target limbs detection information, is based on
The first limbs detection information after adjustment carries out anamorphose processing to described first image, generates the second image.Using
The technical solution of the embodiment of the present invention is based on mesh based on the acquisition of the first limbs detection information to the target object in image
Mark limbs detection information pair the first limbs detection information be adjusted, according to the first limbs detection information after adjustment to image into
Row deformation process, on the one hand realizes the image procossing to the limbs region of target object, is repeatedly manually operated without user, greatly
The big operating experience for improving user；On the other hand, the stature that the embodiment of the present invention includes based on target limbs detection information
Relevant information is adjusted target object so that has specific quantified goal, the target in image in image adaptation procedures
The adjustment effect of object is with the desired target of user (i.e. target limbs detection information) more closely, greatly improving expiring for user
Meaning degree and Experience Degree.
Description of the drawings
Fig. 1 is the flow diagram of the image processing method of the embodiment of the present invention；
Fig. 2 is the composed structure schematic diagram of the image processing apparatus of the embodiment of the present invention；
Fig. 3 is the hardware composed structure schematic diagram of the image processing apparatus of the embodiment of the present invention.
Specific implementation mode
Below in conjunction with the accompanying drawings and specific embodiment the present invention is described in further detail.
An embodiment of the present invention provides a kind of image processing methods.Fig. 1 is the image processing method of the embodiment of the present invention
Flow diagram；As shown in Figure 1, the method includes：
Step 101：The first image is obtained, the target object in described first image is identified, obtains the target object
First limbs detection information.
Step 102：Target limbs detection information is obtained, first limbs are examined based on the target limbs detection information
Measurement information is adjusted, and is carried out at anamorphose to described first image based on the first limbs detection information after adjustment
Reason generates the second image.
In the present embodiment, image processing method is applied in image processing apparatus, and image processing apparatus can be located at mobile phone, put down
In the mobile terminals such as plate computer, laptop, it may be alternatively located in the terminals such as desktop computer, integrated computer.
First image of image processing method pair of the present embodiment carries out image procossing, identifies in described first image first
Target object；Wherein, the target object can be true man, it can be understood as true in image as pending object
Personage；In other embodiments, target object can also be virtual portrait.
In the present embodiment, the first limbs detection information includes limbs key point information and/or limbs contour point information；
The limbs key point information includes the coordinate information of limbs key point；The limbs contour point information includes limbs profile point
Coordinate information.Wherein, the limbs profile in the limbs region of the limbs profile point characterization target object, that is, pass through the limbs wheel
The coordinate information of exterior feature point, connection limbs profile point can form the limbs contour edge of target object.The limbs key point table
Levy target object bone key point, i.e., by the coordinate information of the limbs key point, connection limbs key point being capable of shape
At the major skeletal of target object.
Wherein, the limbs profile point includes following at least one：Arm geometry point, hand profile point, shoulder contour point,
Leg profile point, foot's profile point, waist profile point；The limbs key point includes following at least one：Arm key point, hand
Portion's key point, shoulder key point, leg key point, foot's key point, waist key point.Wherein, arm may include upper arm under
Arm, then arm key point may include upper arm key point and underarm key point；Arm geometry point may include upper arm profile point and underarm
Profile point；Leg may include thigh and shank；Then leg key point may include thigh key point and shank key point；Leg profile
Point may include thigh profile point and shank profile point.
Specifically, the arm geometry point includes following at least one：Arm root lateral profile point, elbow outboard wheel
In upper arm lateral profile at wide point, the point midway between arm root lateral profile point and elbow lateral profile point
Point, wrist lateral profile point, the underarm at the point midway between elbow lateral profile point and wrist lateral profile point
Lateral profile midpoint, elbow inside profile point, is located at profile point and elbow nearside wheel on the inside of wrist at wrist inside profile point
Profile midpoint, armpit profile point on the inside of the underarm at point midway between exterior feature point are located at profile point and armpit on the inside of elbow
Medial upper arm profile midpoint at point midway between profile point.The hand profile point includes：The external frame central point of hand.
The waist profile point includes：By N deciles, generated N number of decile between side thigh root outer profile point and armpit profile point
Point；Wherein, the N is more than 1.The shoulder contour point includes following at least one：It crosses at position positioned at shoulder and head
Joint, positioned at arm root lateral profile point and on the shoulders the shoulder profile midpoint at the point midway between joint on the shoulders.Institute
It includes following at least one to state leg profile point：Crotch profile point, thigh root lateral profile point, knee lateral profile point, position
The thigh lateral profile midpoint at point midway between thigh root lateral profile point and knee lateral profile point, outside ankle
In shank lateral profile at side profile point, the point midway between knee lateral profile point and ankle lateral profile point
Point, profile point on the inside of ankle, inside the knee profile point, positioned at profile point on the inside of ankle and the inside the knee midpoint between profile point
Medial leg profile midpoint at position, the thigh at the point midway between profile point inside the knee and crotch profile point
Inside profile midpoint.Foot's profile point includes：Tiptoe profile point and heel profile point.
In the present embodiment, the expectation parameter of the limbs region adjustment of the target limbs detection information characterization target object.
The target limbs detection information specifically can be by obtaining after carrying out analysis and identification to target image.
As an implementation, the target limbs detection information may include the first limbs detection of at least partly type
Information includes the limbs contour point information of at least partly the limbs key point information of type and/or at least partly type；Example
Such as, target limbs detection information may include waist contour point information and waist key point information.As another embodiment, institute
State the related scale parameter that target limbs detection information may include limbs region, including the ratio between following at least two：Shoulder
Portion's width, chest width, waist width, buttocks width, thigh widths, shank width, upper arm width, underarm width, height, leg
Minister's degree.For example, target limbs detection information include waist width, chest width and buttocks width scale parameter.It can manage
It solves, is pre-configured with plurality of target limbs detection information in image processing equipment, user can voluntarily select one of which target limbs
Detection information, with according to the related ratio of the limbs detection information of selected target limbs detection information characterization or limbs region
The limbs region of target object in the first image of parameter pair carries out anamorphose processing.
It is described that the first limbs detection information is adjusted based on the target limbs detection information in the present embodiment
It is whole, anamorphose processing is carried out to described first image based on the first limbs detection information after adjustment, including：Based on institute
It is the second limbs detection information to state target limbs detection information and adjust the first limbs detection information, is based on second limbs
Detection information carries out anamorphose processing to described first image.
Specifically, as an implementation, at least partly type for including based on the target limbs detection information
The first limbs detection information at least partly content in the first limbs detection information of the target object is adjusted, it is raw
At the second limbs detection information.As another embodiment, the limbs area for including based on the target limbs detection information
The related scale parameter in domain is adjusted at least partly content in the first limbs detection information, generates the inspection of the second limbs
Measurement information.
It is in one embodiment, described that adjust the first limbs detection information based on the target limbs detection information be the
Two limbs detection informations, including：Obtain configuration information, based on the configuration information by the first limbs detection information extremely
Small part limbs detection information according in the target limbs detection information, it is corresponding at least partly limbs detection information
At least partly target limbs detection information be adjusted, obtain the second limbs detection information.
Wherein, described that at least partly limbs in the first limbs detection information are detected by letter based on the configuration information
Breath according in the template limbs detection information, at least partly template limb corresponding at least partly limbs detection information
Physical examination measurement information is adjusted, including：The adjustment benchmark in the first limbs detection information is determined based on the configuration information
Parameter；Keep the adjustment basic parameter it is constant, by at least partly limbs detection information in the first limbs detection information
According in the template limbs detection information, at least partly template limbs corresponding at least partly limbs detection information
Detection information is adjusted.
Specifically, being previously provided with configuration information in the image processing equipment of the present embodiment, the configuration information is for providing
Adjustment basic parameter in first limbs detection information, the adjustment basic parameter are adjusted to second in the first limbs detection information
It is remained unchanged during limbs detection information.If it is to be understood that the first limbs detection information of target object and target limb
The difference of physical examination measurement information is larger, such as height difference or upper lower part of the body ratio difference etc., then detects and believe to the first limbs
During breath is adjusted to the second limbs detection information, need to keep an adjustment basic parameter constant, such as height is kept not
Become or shoulder breadth remains unchanged etc., the height of its script is kept convenient for the target object in the second image for regenerating, or
Person keeps the shoulder breadth of its script, keeps the target object after image procossing more natural.Certainly, the adjustment benchmark of the embodiment of the present invention
Parameter is not limited to the above-mentioned type enumerated, other can be used as tune about any relevant parameter in the limbs region of target object
Whole basic parameter.
In the embodiment of the present invention, the first limbs detection information based on after adjustment carries out described first image
Anamorphose is handled, including：The first limbs detection information based on after adjustment carries out described first image following
At least one image procossing：Stretch processing, compression processing, enhancing processing.
Specifically, carrying out anamorphose processing to described first image using anamorphose algorithm in the embodiment of the present invention；
Wherein, stretch processing indicates to be amplified deformation process according to specific direction for a region；Compression processing indicates to be directed to an area
Domain carries out diminution deformation process according to specific direction；Enhancing processing characterization is carried out for the object in a region at feature enhancing
Reason.
In one embodiment, the first limbs detection information based on after adjustment carries out figure to described first image
Distortion of image processing generates the second image, including：Anamorphose is carried out to the corresponding limbs region of the first limbs detection information
Processing obtains the first handling result, and the second image is generated based on first handling result；Image in first handling result
Limbs region after deformation process, which meets in the first limbs detection information namely first handling result after adjustment, schemes
Treated that limbs region meets the second limbs detection information for distortion of image.It is appreciated that being based on described in the present embodiment
Second limbs detection information to the limbs region according to anamorphose algorithm carry out anamorphose processing, based on treated figure
As generating the second image.
Specifically, described carry out anamorphose processing to the corresponding limbs region of the first limbs detection information, including：
Following at least one limbs region corresponding to the first limbs information carries out anamorphose processing：Shoulder regions, chest region
Domain, lumbar region, leg area, arm regions, hand region, foot areas, seat area, head zone.
Processing for leg area includes the compression or stretch processing of leg area, and/or, the drawing of leg area length
It stretches or compression processing；
Wherein, leg profile point information includes the first leg profile point information and the second leg profile point information；Described
One leg profile point information corresponds to leg outer profile；The second leg profile point information corresponds to leg Internal periphery.It is then right
In the compression or stretch processing of leg area, specifically include：Using anamorphose algorithm for the leg profile point information and
The corresponding leg area of leg key point information according to leg outer profile towards the direction of leg Internal periphery to leg outer profile into
Row compression processing, and compression processing is carried out to leg Internal periphery towards the direction of leg outer profile according to leg Internal periphery；With/
Or, using anamorphose algorithm for the leg profile point information and the corresponding leg area of leg key point information according to leg
Portion's Internal periphery carries out stretch processing towards the direction of leg outer profile to leg outer profile, and according to leg outer profile towards leg
The direction of portion's Internal periphery carries out stretch processing to leg Internal periphery.
Stretching for leg area length or compression processing, specific processing mode may include stretching or compressing lower leg region
Domain, and/or promoted or drag down " stringcourse ", specifically：
As the first embodiment, leg profile point information includes the third leg profile point letter corresponding to shank profile
Breath；Leg key point information includes the third leg key point information corresponding to shank；Then anamorphose algorithm is used to be directed to institute
Third leg profile point information and the corresponding lower leg area of third leg key point information are stated according to knee towards the direction of foot
Stretch processing is carried out, or compression processing is carried out towards the direction of knee according to foot.
As second of embodiment, waist contour point information includes and relevant first waist of the leg area of target object
Contouring point sub-information；Waist key point information includes believing with the relevant first waist key idea of the leg area of target object
Breath；Then anamorphose algorithm is used to correspond to the first waist profile point sub-information and the first waist key point sub-information
Part lumbar region according to first direction carry out compression processing, the first direction be headward direction or and head
Direction be in certain degree direction, to compress the part lumbar region towards the first direction, to promote described the
The corresponding part waist profile of one waist profile point sub-information, and then achieve the effect that promote " stringcourse ".Opposite, using image
Deformation algorithm is to the first waist profile point sub-information and the corresponding part waist area of the first waist key point sub-information
Domain carries out stretch processing according to the opposite second direction of the first direction, to stretch the part towards the second direction
Lumbar region to stretch the corresponding part waist profile of the first waist profile point sub-information, and then reaches reduction " stringcourse "
Effect.
Processing for arm regions includes the compression or stretch processing of arm regions, and arm geometry point information includes first
Arm geometry point information and the second arm contour point information；The first arm contour point information corresponds to arm outer profile；Institute
It states the second arm contour point information and corresponds to arm Internal periphery；Then for the compression of arm regions or stretch processing, specifically include：
Using anamorphose algorithm for the arm geometry point information and the corresponding arm regions of arm key point information according to arm
Outer profile carries out compression processing towards the direction of arm Internal periphery to arm outer profile, and according to arm Internal periphery towards arm
The direction of outer profile carries out compression processing to arm Internal periphery；And/or the arm geometry point is directed to using anamorphose algorithm
Information and the corresponding arm regions of arm key point information according to arm Internal periphery towards the direction of arm outer profile to arm outside
Profile carries out stretch processing, and is carried out at stretching to arm Internal periphery towards the direction of arm Internal periphery according to arm outer profile
Reason.
Processing for lumbar region includes the compression or stretch processing of lumbar region, is specifically included：Based on waist profile
Point information determines the center line of lumbar region, is pressed to the corresponding lumbar region of the waist contour point information using anamorphose algorithm
According to both sides waist profile compression processing is carried out towards the direction of the center line；Alternatively, using anamorphose algorithm to the waist
The corresponding lumbar region of contour point information carries out stretch processing according to the center line towards the direction of both sides waist profile.
Processing for chest area includes the anamorphose processing of chest area, is specifically included：It is calculated using anamorphose
Method carries out at least one of following processing for the corresponding chest area of thoracic contours point information：Stretcher strain processing, pressure
Compression deformation processing, feature enhancing processing.
Can also include the addition processing of object information, the object information for the processing in the limbs region of target object
Specially characterize the shadow data of muscle region；And in limbs region add object information region include following region extremely
It is one of few：Chest area, abdomen area, arm regions, leg area, dorsal area.The embodiment of the present invention is to muscle correlation zone
The processing in domain may include that the two ways of " increasing muscle " and " building up muscle ", so-called " increasing muscle " are referred in no flesh
The region of meat increases muscle；So-called " building up muscle " refers to that the muscle of script is had to the effect to become larger in the region for having muscle
Fruit.Then the addition processing of object information specifically includes：It identifies that the contour point information is corresponding using image processing algorithm to wait locating
The type in region is managed, the type based on the pending area adds object information in the pending area；Alternatively, using
Image processing algorithm identifies the object information in the corresponding pending area of the contour point information, adjusts the object information pair
The display properties parameter answered.As an implementation, it identifies that the contour point information is corresponding using image processing algorithm to wait for
The type of processing region, the type based on the pending area add object information in the pending area.Wherein, institute
The type for stating pending area characterizes the position of the corresponding target object of corresponding contour point information；It is appreciated that chest, abdomen
The positions such as portion, arm, leg, back correspond to different types.Further, if part has at least two sub-portions, until
Few two sub-portions correspond to different types；For example, leg includes two sub-portions of thigh and shank, then the two sub-portions pair
Answer different types.As another embodiment, the corresponding display properties parameter of regulating object information, the display properties ginseng
Number is specifically as follows contrast level parameter, that is, adjusts the contrast of the object information；Specifically increase pair of the object information
Than degree, to the region that has the effect of building up muscle three-dimensional degree namely build up muscle.
It is in one embodiment, described that anamorphose processing is carried out to the corresponding limbs region of the first limb detection information,
Including：The limbs region is handled based on the first kind deformation parameter that each pair of point in the limbs region is answered；Its
In, the distance between contour edge that the first kind deformation parameter is formed with corresponding point to the limbs contour point information
Variation and change.
In one embodiment, the method further includes：First limbs are detected using described image deformation algorithm and are believed
It ceases at least partly background area other than corresponding limbs region and carries out anamorphose processing, obtain second processing result；Accordingly
, it is described that second image is generated based on first handling result, including：At first handling result and described second
It manages result and generates the second image.
Wherein, it is described using described image deformation algorithm to other than the corresponding limbs region of the first limbs information extremely
Small part background area carries out anamorphose processing, including：It is answered based on each pair of point in at least partly background area
Second class deformation parameter carries out anamorphose processing at least partly background area；Wherein, the second class deformation parameter
Variation with the variation of corresponding point to the distance between the contour edge of the target object exponentially again.
In the present embodiment, on the one hand the point in the limbs region of target object is deformed according to first kind deformation parameter
Processing, on the other hand, to o'clock becoming according to the second class deformation parameter in at least partly background area other than target object
Shape processing.Wherein, at least partly background area can specifically be proximate to the region of the contour edge of target object, can also
It is all background areas；It is appreciated that at least partly profile of each of background area point apart from the target object
The distance between edge is in preset threshold range.
For first kind deformation parameter, change to the variation of the distance between contour edge with corresponding point；And it is right
In the second class deformation parameter, the variation with the variation of corresponding point to the distance between contour edge exponentially again.It can be with
It is interpreted as, the second class deformation parameter, compared to first kind deformation parameter, if corresponding point is to the variation of the distance between contour edge
It is identical, then the variable quantity bigger of the second class deformation parameter, to reduce the influence to background area so that image processing effect is more
For naturally, more smooth natural in particular for the processing near contour edge.
The image processing method of the embodiment of the present invention is illustrated with reference to a specific embodiment.
If user it is expected the stature of the personage in the first image being adjusted according to the stature of a certain star, it is somebody's turn to do
The corresponding target limbs detection information of star；The target limbs detection information specifically may include：Height, contouring head point information,
Shoulder contour point information, thoracic contours point information, chest key point information, abdomen contour point information, arm geometry point information, leg
Contouring point information etc..If using shoulder breadth and height as adjustment basic parameter, become to the personage in the first image
In shape processing procedure, keep the shoulder breadth of the personage and height constant, in the limbs region indicated target limbs detection information
The width parameter of each section and the ratio of shoulder width are determined and the ratio of the length parameter of each section and height carries out
It determines, that is, the scale parameter of the width parameter and shoulder width of each section is obtained, for example, the ratio of chest width and shoulder width
Parameter, the scale parameter of buttocks width and shoulder width, the scale parameter of thigh widths and shoulder width, shank width and shoulder
Scale parameter of width etc.；And the scale parameter of the length parameter and height of each section is obtained, for example, thigh length and body
The scale parameter of high scale parameter, lower-leg length and height, the scale parameter of abdomen length and height, chest length and height
Scale parameter etc..Be based further on above-mentioned acquisition various scale parameters determine that personage in the first image is to be adjusted after
Limbs detection information, namely determine it is to be adjusted after stature relevant parameter, adopted according to the limbs detection information after to be adjusted
Deformation process is carried out to the personage in described first image with anamorphose algorithm, is drawn particularly directed to each section of personage
Stretch, compress or feature enhancing processing, generate the second image.
Using the technical solution of the embodiment of the present invention, based on the first limbs detection information to the target object in image
It obtains, is adjusted based on target limbs detection information pair the first limbs detection information, detected according to the first limbs after adjustment
Information carries out deformation process to image, on the one hand realizes the image procossing to the limbs region of target object, more without user
Secondary manual operation greatly improves the operating experience of user；On the other hand, the embodiment of the present invention is based on target limbs detection information
The stature relevant information for including is adjusted target object so that there is specific quantified goal in image adaptation procedures,
The adjustment effect of target object in image is with the desired target of user (i.e. target limbs detection information) more closely, carrying significantly
The satisfaction and Experience Degree of user are risen.
The embodiment of the present invention additionally provides a kind of image processing apparatus.Fig. 2 is the image processing apparatus of the embodiment of the present invention
Composed structure schematic diagram；As shown in Fig. 2, described device includes：Acquiring unit 21 and image processing unit 22；Wherein,
The acquiring unit 21 identifies the target object in described first image, described in acquisition for obtaining the first image
First limbs detection information of target object；It is additionally operable to obtain target limbs detection information；
Described image processing unit 22, for being based on the target limbs detection information to the first limbs detection information
It is adjusted, anamorphose processing is carried out to described first image based on the first limbs detection information after adjustment, is generated
Second image.
In the present embodiment, the first limbs detection information includes limbs key point information and/or limbs contour point information；
The limbs key point information includes the coordinate information of limbs key point；
The limbs contour point information includes the coordinate information of limbs profile point.
Wherein, the limbs profile point includes following at least one：Arm geometry point, hand profile point, shoulder contour point,
Leg profile point, foot's profile point, waist profile point；
The limbs key point includes following at least one：Arm key point, hand key point, shoulder key point, leg
Key point, foot's key point, waist key point.
In one embodiment, described image processing unit 22, for based on described in target limbs detection information adjustment
First limbs detection information is the second limbs detection information, is carried out to described first image based on the second limbs detection information
Anamorphose is handled.
In one embodiment, described image processing unit 22 is based on the configuration information by institute for obtaining configuration information
State at least partly limbs detection information in the first limbs detection information according in the target limbs detection information, with it is described extremely
The corresponding at least partly target limbs detection information of small part limbs detection information is adjusted, and obtains the second limbs detection letter
Breath.
In one embodiment, described image processing unit 22, for determining first limbs based on the configuration information
Adjustment basic parameter in detection information；Keep the adjustment basic parameter it is constant, will be in the first limbs detection information
At least partly limbs detection information according in the target limbs detection information, it is opposite at least partly limbs detection information
At least partly target limbs detection information answered is adjusted.
In one embodiment, described image processing unit 22, for based on the first limbs detection information after adjustment
At least one processing of image or less is carried out to described first image：Stretch processing, compression processing, enhancing processing.
In one embodiment, described image processing unit 22, for the corresponding limbs of the first limbs detection information
Region carries out anamorphose processing, obtains the first handling result, and the second image is generated based on first handling result；Described
Anamorphose treated limbs region meets the first limbs detection information after adjustment in one handling result.
In one embodiment, described image processing unit 22, for corresponding to the first limbs detection information following
At least one limbs region carries out anamorphose processing：Shoulder regions, chest area, lumbar region, leg area, arm regions
Domain, hand region, foot areas, seat area, head zone.
In one embodiment, described image processing unit 22, for what is answered based on each pair of point in the limbs region
First kind deformation parameter carries out anamorphose processing to the limbs region；Wherein, the first kind deformation parameter is with corresponding
The distance between the contour edge that is formed to the limbs contour point information of point variation and change.
In one embodiment, described image processing unit 22 is additionally operable to the corresponding limb of the first limbs detection information
At least partly background area other than body region carries out anamorphose processing, obtains second processing result；At described first
It manages result and the second processing result generates the second image.
In one embodiment, described image processing unit 22, for based on described at least partly each of background area
The corresponding second class deformation parameter of point carries out anamorphose processing at least partly background area；Wherein, second class
Deformation parameter exponentially variation again with the variation of corresponding point to the distance between the contour edge of the target object.
In the embodiment of the present invention, the acquiring unit 21 in described image processing unit and image processing unit 22, in reality
It can be by the central processing unit (CPU, Central Processing Unit) in the terminal, Digital Signal Processing in
Device (DSP, Digital Signal Processor), micro-control unit (MCU, Microcontroller Unit) or programmable
Gate array (FPGA, Field-Programmable Gate Array) is realized.
The embodiment of the present invention additionally provides a kind of image processing apparatus, and Fig. 3 is the image processing apparatus of the embodiment of the present invention
Hardware composed structure schematic diagram, as shown in figure 3, image processing apparatus includes memory 32, processor 31 and is stored in storage
On device 32 and the computer program that can be run on processor 31, the processor 31 realize that the present invention is real when executing described program
Apply the aforementioned any one described image processing method of example.
It is appreciated that the various components in image processing apparatus are coupled by bus system 33.It is understood that bus
System 33 is for realizing the connection communication between these components.Bus system 33 further includes power supply in addition to including data/address bus
Bus, controlling bus and status signal bus in addition.But for the sake of clear explanation, various buses are all designated as bus in figure 3
System 33.
It is appreciated that memory 32 can be volatile memory or nonvolatile memory, may also comprise volatibility and
Both nonvolatile memories.Wherein, nonvolatile memory can be read-only memory (ROM, Read Only Memory),
Programmable read only memory (PROM, Programmable Read-Only Memory), Erasable Programmable Read Only Memory EPROM
(EPROM, Erasable Programmable Read-Only Memory), electrically erasable programmable read-only memory
(EEPROM, Electrically Erasable Programmable Read-Only Memory), magnetic random access store
Device (FRAM, ferromagnetic random access memory), flash memory (Flash Memory), magnetic surface are deposited
Reservoir, CD or CD-ROM (CD-ROM, Compact Disc Read-Only Memory)；Magnetic surface storage can be
Magnetic disk storage or magnetic tape storage.Volatile memory can be random access memory (RAM, Random Access
Memory), it is used as External Cache.By exemplary but be not restricted explanation, the RAM of many forms is available, such as
Static RAM (SRAM, Static Random Access Memory), synchronous static RAM
(SSRAM, Synchronous Static Random Access Memory), dynamic random access memory (DRAM,
Dynamic Random Access Memory), Synchronous Dynamic Random Access Memory (SDRAM, Synchronous
Dynamic Random Access Memory), double data speed synchronous dynamic RAM (DDRSDRAM,
Double Data Rate Synchronous Dynamic Random Access Memory), enhanced synchronous dynamic random
Access memory (ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), synchronized links
Dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), direct rambus
Random access memory (DRRAM, Direct Rambus Random Access Memory).Description of the embodiment of the present invention is deposited
Reservoir 32 is intended to the memory of including but not limited to these and any other suitable type.
The method that the embodiments of the present invention disclose can be applied in processor 31, or be realized by processor 31.Place
It may be a kind of IC chip to manage device 31, the processing capacity with signal.During realization, each step of the above method
It can be completed by the integrated logic circuit of the hardware in processor 31 or the instruction of software form.Above-mentioned processor 31 can
To be general processor, DSP either other programmable logic device, discrete gate or transistor logic, discrete hardware group
Part etc..Processor 31 may be implemented or execute disclosed each method, step and logic diagram in the embodiment of the present invention.It is general
Processor can be microprocessor or any conventional processor etc..The step of method in conjunction with disclosed in the embodiment of the present invention
Suddenly, hardware decoding processor can be embodied directly in and execute completion, or with the hardware and software module group in decoding processor
Conjunction executes completion.Software module can be located in storage medium, which is located at memory 32, and processor 31 reads storage
Information in device 32, in conjunction with the step of its hardware completion preceding method.
It should be noted that：The image processing apparatus that above-described embodiment provides when performing image processing, only with above-mentioned each
The division progress of program module can as needed distribute above-mentioned processing by different journeys for example, in practical application
Sequence module is completed, i.e., the internal structure of device is divided into different program modules, to complete whole described above or portion
Divide processing.In addition, the image processing apparatus that above-described embodiment provides belongs to same design with image processing method embodiment, have
Body realizes that process refers to embodiment of the method, and which is not described herein again.
In the exemplary embodiment, the embodiment of the present invention additionally provides a kind of computer readable storage medium, such as including
The memory 32 of computer program, above computer program can be executed by the processor 31 of image processing apparatus, aforementioned to complete
Step described in method.Computer readable storage medium can be FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory,
The memories such as magnetic surface storage, CD or CD-ROM；Can also be to combine including one of above-mentioned memory or arbitrarily various
Equipment, such as mobile phone, computer, tablet device, personal digital assistant.
The embodiment of the present invention additionally provides a kind of computer readable storage medium, is stored thereon with computer instruction, this refers to
Aforementioned any one described image processing method of the embodiment of the present invention is realized when order is executed by processor.
The embodiment of the present invention additionally provides a kind of computer program product, and the computer program product includes that computer can
It executes instruction, after which is performed, can realize the aforementioned any one of them image of the embodiment of the present invention
The step of processing method.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.Apparatus embodiments described above are merely indicative, for example, the division of the unit, only
A kind of division of logic function, formula that in actual implementation, there may be another division manner, such as：Multiple units or component can combine, or
It is desirably integrated into another system, or some features can be ignored or not executed.In addition, shown or discussed each composition portion
It can be the INDIRECT COUPLING by some interfaces, equipment or unit to divide mutual coupling or direct-coupling or communication connection
Or communication connection, can be electrical, mechanical or other forms.
The above-mentioned unit illustrated as separating component can be or may not be and be physically separated, aobvious as unit
The component shown can be or may not be physical unit, you can be located at a place, may be distributed over multiple network lists
In member；Some or all of wherein unit can be selected according to the actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in various embodiments of the present invention can be fully integrated into a processing unit, also may be used
It, can also be during two or more units be integrated in one unit to be each unit individually as a unit；It is above-mentioned
The form that hardware had both may be used in integrated unit is realized, can also be realized in the form of hardware adds SFU software functional unit.
One of ordinary skill in the art will appreciate that：Realize that all or part of step of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer read/write memory medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes：Movable storage device, ROM,
The various media that can store program code such as RAM, magnetic disc or CD.
If alternatively, the above-mentioned integrated unit of the present invention is realized in the form of software function module and as independent product
Sale in use, can also be stored in a computer read/write memory medium.Based on this understanding, the present invention is implemented
Substantially the part that contributes to existing technology can be expressed in the form of software products the technical solution of example in other words,
The computer software product is stored in a storage medium, including some instructions are used so that computer equipment (can be with
It is personal computer, server or network equipment etc.) execute all or part of each embodiment the method for the present invention.
And storage medium above-mentioned includes：Movable storage device, ROM, RAM, magnetic disc or CD etc. are various can to store program code
Medium.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of image processing method, which is characterized in that the method includes：
The first image is obtained, identifies the target object in described first image, obtains the first limbs detection of the target object
Information；
Target limbs detection information is obtained, the first limbs detection information is adjusted based on the target limbs detection information
It is whole, anamorphose processing is carried out to described first image based on the first limbs detection information after adjustment, generates the second figure
Picture.
2. according to the method described in claim 1, it is characterized in that, the first limbs detection information includes limbs key point letter
Breath and/or limbs contour point information；
The limbs key point information includes the coordinate information of limbs key point；
The limbs contour point information includes the coordinate information of limbs profile point.
3. according to the method described in claim 2, it is characterized in that, the limbs profile point includes following at least one：Arm
Profile point, hand profile point, shoulder contour point, leg profile point, foot's profile point, waist profile point；
The limbs key point includes following at least one：Arm key point, hand key point, shoulder key point, leg are crucial
Point, foot's key point, waist key point.
4. method according to any one of claims 1 to 3, which is characterized in that described based on target limbs detection letter
Breath is adjusted the first limbs detection information, based on the first limbs detection information after adjustment to first figure
As progress anamorphose processing, including：
It is the second limbs detection information to adjust the first limbs detection information based on the target limbs detection information, is based on institute
It states the second limbs detection information and anamorphose processing is carried out to described first image.
5. method according to any one of claims 1 to 4, which is characterized in that first limb based on after adjustment
Physical examination measurement information carries out anamorphose processing to described first image, generates the second image, including：
Anamorphose processing is carried out to the corresponding limbs region of the first limbs detection information, obtains the first handling result, base
The second image is generated in first handling result；Anamorphose treated limbs region meets in first handling result
The first limbs detection information after adjustment.
6. method according to any one of claims 1 to 5, which is characterized in that the method further includes：To first limb
At least partly background area other than the corresponding limbs region of physical examination measurement information carries out anamorphose processing, obtains second processing knot
Fruit；
It is described that second image is generated based on first handling result, including：Based on first handling result and described second
Handling result generates the second image.
7. a kind of image processing apparatus, which is characterized in that described device includes：Acquiring unit and image processing unit；Wherein,
The acquiring unit identifies the target object in described first image, obtains the target pair for obtaining the first image
The first limbs detection information of elephant；It is additionally operable to obtain target limbs detection information；
Described image processing unit adjusts the first limbs detection information for being based on the target limbs detection information
It is whole, anamorphose processing is carried out to described first image based on the first limbs detection information after adjustment, generates the second figure
Picture.
8. a kind of computer readable storage medium, is stored thereon with computer instruction, which is characterized in that the instruction is held by processor
The step of any one of claim 1 to 6 the method is realized when row.
9. a kind of image processing apparatus, including memory, processor and storage can be run on a memory and on a processor
Computer program, which is characterized in that the processor realizes any one of claim 1 to 6 the method when executing described program
The step of.
10. a kind of computer program product, which is characterized in that the computer program product includes computer executable instructions,
After the computer executable instructions are performed, the step of capable of realizing any one of claim 1 to 6 described image processing method.
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