CN109816628A - Face evaluation method and Related product - Google Patents
Face evaluation method and Related product Download PDFInfo
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- CN109816628A CN109816628A CN201811560246.9A CN201811560246A CN109816628A CN 109816628 A CN109816628 A CN 109816628A CN 201811560246 A CN201811560246 A CN 201811560246A CN 109816628 A CN109816628 A CN 109816628A
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Abstract
The embodiment of the present application provides a kind of face evaluation method and Related product, wherein method includes: to obtain target facial image, and obtain the three dimensional angular angle value of target facial image, and three dimensional angular angle value includes x angle value, y angle value and z angle value；Obtain corresponding three weights of three dimensional angular angle value, wherein corresponding the first weight of target of x angle value, corresponding the second weight of target of y angle value, the corresponding target third weight of z angle value, the first weight of target, the second weight of target and target third weights sum are 1；It is weighted according to x angle value, y angle value, z angle value, the first weight of target, the second weight of target, target third weight, obtains target angle angle value；According to the mapping relations between preset angle value and angle quality evaluation value, the corresponding first object evaluation of estimate of target angle angle value is determined.It can be evaluated by the embodiment of the present application for facial angle, help to promote face unlock efficiency.
Description
Technical field
This application involves technical field of image processing, and in particular to a kind of face evaluation method and Related product.
Background technique
With a large amount of popularization and applications of electronic equipment (such as mobile phone, tablet computer), the application that electronic equipment can be supported
More and more, function is stronger and stronger.At present, face unlocking technology becomes the standard configuration technology of electronic equipment, but in reality
In, if facial angle is bad, it is easy to cause face unlock failure, therefore, the quality of angle directly influences face solution
The problem of locking, how providing a kind of evaluation method for facial angle is urgently to be resolved.
Summary of the invention
The embodiment of the present application provides a kind of face evaluation method and Related product, can provide one kind for facial angle and comment
Valence mode, and promote face and unlock efficiency.
In a first aspect, the embodiment of the present application provides a kind of face evaluation method, comprising:
Target facial image is obtained, and obtains the three dimensional angular angle value of the target facial image, the three dimensional angular angle value packet
Include x angle value, y angle value and z angle value；
Obtain corresponding three weights of the three dimensional angular angle value, wherein corresponding the first weight of target of the x angle value,
Corresponding the second weight of target of the y angle value, the corresponding target third weight of the z angle value, first weight of target,
Second weight of target and the target third weights sum are 1；
According to the x angle value, the y angle value, the z angle value, the first weight of the target, the target second
Weight, the target third weight are weighted, and obtain target angle angle value；
According to the mapping relations between preset angle value and angle quality evaluation value, determine that the target angle angle value is corresponding
First object evaluation of estimate.
Optionally, before the acquisition target facial image, the method also includes:
Obtain target image；
Target detection is carried out to the target image；
When including personage in the target image, target environment parameter is obtained, and figure is carried out to the target image
As segmentation, the personage region is obtained；
According to the mapping relations between preset environmental parameter and acquisition parameters, target acquisition parameters are determined；
Focus is determined according to the personage region；
The personage is shot according to the target acquisition parameters, the focus, obtains the target facial image,
The step of executing the acquisition target facial image.
Second aspect, the embodiment of the present application provide a kind of face evaluating apparatus, comprising:
Acquiring unit for obtaining target facial image, and obtains the three dimensional angular angle value of the target facial image, described
Three dimensional angular angle value includes x angle value, y angle value and z angle value；And corresponding three weights of the three dimensional angular angle value are obtained,
Wherein, corresponding the first weight of target of the x angle value, corresponding the second weight of target of the y angle value, the z angle value
Corresponding target third weight, first weight of target, the second weight of the target and the target third weights sum are
1；
Arithmetic element, for being weighed according to the x angle value, the y angle value, the z angle value, the target first
Value, the second weight of the target, the target third weight are weighted, and obtain target angle angle value；
Determination unit, described in determining according to the mapping relations between preset angle value and angle quality evaluation value
The corresponding first object evaluation of estimate of target angle angle value.
The third aspect, the embodiment of the present application provide a kind of face evaluating apparatus, including processor, memory and one or
Multiple programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured to be held by above-mentioned processor
Row, above procedure are included the steps that for executing the instruction in the embodiment of the present application first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable
Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as
Step some or all of described in the embodiment of the present application first aspect.
5th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product
Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate
Machine executes the step some or all of as described in the embodiment of the present application first aspect.The computer program product can be one
A software installation packet.
Implement the embodiment of the present application, have it is following the utility model has the advantages that
As can be seen that obtaining target face by face evaluation method and Related product described in the embodiment of the present application
Image, and the three dimensional angular angle value of target facial image is obtained, three dimensional angular angle value includes x angle value, y angle value and z angle value, is obtained
Take corresponding three weights of three dimensional angular angle value, wherein corresponding the first weight of target of x angle value, the corresponding target of y angle value
Two weights, the corresponding target third weight of z angle value, the first weight of target, the second weight of target and target third weights sum
It is 1, is added according to x angle value, y angle value, z angle value, the first weight of target, the second weight of target, target third weight
Operation is weighed, target angle angle value is obtained, according to the mapping relations between preset angle value and angle quality evaluation value, determines target
The corresponding first object evaluation of estimate of angle value, in this way, being evaluated by the three-dimensional perspective to facial image, to a certain extent
Foundation is provided for the quality of image.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is some embodiments of the present application, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Figure 1A is a kind of embodiment flow diagram of face evaluation method provided by the embodiments of the present application；
Figure 1B is the schematic diagram of the three dimensional angular angle value of face provided by the embodiments of the present application；
Fig. 2 is a kind of another embodiment flow diagram of face evaluation method provided by the embodiments of the present application；
Fig. 3 A is a kind of example structure schematic diagram of face evaluating apparatus provided by the embodiments of the present application；
Fig. 3 B is the another structural schematic diagram of face evaluating apparatus described in Fig. 3 A provided by the embodiments of the present application；
Fig. 3 C is the another structural schematic diagram of face evaluating apparatus described in Fig. 3 A provided by the embodiments of the present application；
Fig. 4 is a kind of example structure schematic diagram of face evaluating apparatus provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Based on this Shen
Please in embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall in the protection scope of this application.
The description and claims of this application and term " first ", " second ", " third " and " in the attached drawing
Four " etc. are not use to describe a particular order for distinguishing different objects.In addition, term " includes " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process, method of a series of steps or units, be
System, product or equipment are not limited to listed step or unit, but optionally further comprising the step of not listing or list
Member, or optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.It is identical that each position in the description shows that the phrase might not be each meant
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Face evaluating apparatus described by the embodiment of the present application may include smart phone (such as Android phone, iOS mobile phone,
Windows Phone mobile phone etc.), tablet computer, palm PC, laptop, mobile internet device (MID, Mobile
Internet Devices) or wearable device etc., above-mentioned is only citing, and non exhaustive, including but not limited to above-mentioned apparatus, when
So, above-mentioned face evaluating apparatus can also be server.
It should be noted that the face evaluating apparatus in the embodiment of the present application can be connect with multiple cameras, each camera shooting
Head is used equally for capturing video image, and each camera can have a corresponding position mark, alternatively, can have one with
Corresponding number.Under normal conditions, camera may be provided at public place, for example, school, museum, crossroad, walking
Street, office building, garage, airport, hospital, subway station, station, bus platform, supermarket, hotel, public place of entertainment etc..Camera exists
After taking video image, the memory of system where which can be saved in face evaluating apparatus.It can in memory
It is stored with multiple images library, each image library may include the different video image of same people, and certainly, each image library can also be used
In the video image in one region of storage or the video image of some specified camera shooting.
Still optionally further, in the embodiment of the present application, each frame video image of camera shooting corresponds to an attribute
Information, attribute information be following at least one: the shooting time of video image, the position of video image, video image attribute
Character features attribute in parameter (format, size, resolution ratio etc.), the number and video image of video image.Above-mentioned video figure
Character features attribute as in may include, but are not limited to: personage's number, character positions, personage's angle value in video image,
Age, picture quality etc..
Explanation is needed further exist for, the video image of each camera acquisition is usually dynamic human face image, thus, this
Application embodiment in can the angle value information to facial image plan that above-mentioned angle value information may include but not only limit
In: horizontally rotate angle value, pitch angle or gradient.For example, can define dynamic human face image data requires two spacing not
Less than 30 pixels, it is proposed that more than 60 pixels.Horizontally rotate angle value and is no more than ± 20 °, inclination angle no more than ± 30 °, pitch angle
No more than ± 45 °.Recommended levels angle of rotation angle value be no more than ± 15 °, pitch angle be no more than ± 10 °, inclination angle be no more than ±
15°.For example, can also be screened to whether facial image is blocked by other objects, it is generally the case that jewelry should not block face
Main region, such as dark sunglasses of jewelry, mask and exaggeration jewellery cause it is of course also possible to be covered with dust all over above camera
Facial image is blocked.The picture format of video image in the embodiment of the present application may include, but are not limited to: BMP, JPEG,
JPEG2000, PNG etc., size can between 10-30KB, each video image can also correspond to a shooting time,
And shoot the camera Unified number of the video image, panorama big figure corresponding with facial image such as links at the information (face
Image and global picture establish feature correspondence relational file).
Figure 1A is please referred to, is a kind of embodiment flow diagram of face evaluation method provided by the embodiments of the present application.This
Face evaluation method described in embodiment, comprising the following steps:
101, target facial image is obtained, and obtains the three dimensional angular angle value of the target facial image, the three-dimensional perspective
Value includes x angle value, y angle value and z angle value.
Wherein, in the embodiment of the present application, the available target facial image of face evaluating apparatus, face evaluating apparatus can be with
Including depth camera, alternatively, depth camera+visible image capturing head, specifically, for example, visible image capturing head can be passed through
Target facial image is obtained, the corresponding three dimensional angular angle value of the target facial image, i.e. corresponding three-dimensional are determined by depth camera
Space coordinates, the x angle value in the direction x, the y angle value in the direction y and the z angle value in the direction z, in this way, can precisely describe to take the photograph
As the angular relationship between head and facial image.Different angles then influence accuracy of identification to a certain extent, for example, face angle
Degree directly influences characteristic point quantity or feature point mass.Above-mentioned three dimensional angular angle value can be understood as face relative to camera
Between three-dimensional angle, as shown in Figure 1B, Figure 1B shows between camera and face that there are the direction x, the direction y and the directions z
Between angle.
102, corresponding three weights of the three dimensional angular angle value are obtained, wherein the corresponding target first of the x angle value is weighed
Value, corresponding the second weight of target of the y angle value, the corresponding target third weight of the z angle value, first weight,
Second weight and the third weights sum are 1.
Wherein, each angle value can correspond to a weight in above-mentioned three dimensional angular angle value, and certainly, three dimensional angular angle value is corresponding
Three weights, can preset or system default.Specifically, the available three dimensional angular angle value of face evaluating apparatus is corresponding
Three weights, specifically, corresponding the first weight of target of x angle value, corresponding the second weight of target of y angle value, z angle value
Corresponding target third weight, above-mentioned the first weight of target+the second weight of target+target third weight=1.
Optionally, above-mentioned steps 102 obtain corresponding three weights of the three dimensional angular angle value, it may include following steps:
21, target environment brightness value is obtained；
22, according to the mapping relations between preset ambient brightness value and mapping relations group, determine that the target environment is bright
The corresponding target mapping relations group of angle value, each mapping relations group include first between the angle value in the direction x and the first weight
The second mapping relations between mapping relations and the angle value and the second weight in the direction y；
23, the corresponding mesh of the x angle value is determined according to the first mapping relations in the target mapping relations group
Mark the first weight；
24, the corresponding mesh of the y angle value is determined according to the second mapping relations in the target mapping relations group
Mark the second weight；
25, the target third weight is obtained according to first weight of target, the second weight of the target.
Wherein, it in the specific implementation, target environment brightness value can be obtained by ambient light sensor, can also be stored in advance
Mapping relations between preset ambient brightness value and mapping relations group, each mapping relations group may each comprise the angle in the direction x
The second mapping between the angle value and the second weight of the first mapping relations and the direction y between angle value and the first weight is closed
System, in turn, can determine target environment brightness value according to the mapping relations between preset ambient brightness value and mapping relations group
Corresponding target mapping relations group determines the corresponding target of x angle value according to the first mapping relations in target mapping relations group
First weight, and corresponding the second weight of target of y angle value is determined according to the second mapping relations in target mapping relations group,
Target third weight=the first weight of 1- target-the second weight of target, due to that can be identified under different ambient lights
The angle of face is also different, in this way, can determine weight corresponding with light according to ambient light, be conducive to precisely to people
Face is evaluated, and certainly, for varying environment light, corresponding evaluation rule is different, is conducive to precisely realize to face angle
Degree is evaluated.
103, according to the x angle value, the y angle value, the z angle value, the first weight of the target, the target
Second weight, the target third weight are weighted, and obtain target angle angle value.
Wherein, target angle angle value=x angle value * target the first weight+y angle value * target the second weight+z angle value * mesh
Third weight is marked, in this way, may be implemented to convert one-dimensional angle value for three dimensional angular angle value, is carried out for realizing the angle to face
Precisely indicate.
104, according to the mapping relations between preset angle value and angle quality evaluation value, the target angle angle value is determined
Corresponding first object evaluation of estimate.
Wherein, the mapping between preset angle value and angle quality evaluation value can be stored in advance in face evaluating apparatus
Relationship determines the corresponding first object evaluation of estimate of target angle angle value according to the mapping relations in turn, further, such as the first mesh
Mark evaluation of estimate is greater than default Evaluation threshold can largely be identified as then it is to be understood that facial image is easily identified
Function, certainly, the corresponding face of such angle can be used for face unlock, alternatively, the corresponding face of angle in this way can be used for
Camera acquisition, improves the face collecting efficiency of face evaluating apparatus.
Optionally, after above-mentioned steps 104, can also include the following steps:
A1, image quality evaluation is carried out to the target facial image, obtains the second objective appraisal value；
A2, corresponding first weight coefficient of first object evaluation of estimate and the second objective appraisal value pair are obtained
The second weight coefficient answered；
A3, according to the first object evaluation of estimate, first weight coefficient, the second objective appraisal value, described
Two weight coefficients are weighted, and obtain third objective appraisal value；
A4, according to the mapping relations between preset matching threshold and evaluation of estimate, determine the third objective appraisal value pair
The object matching threshold value answered；
A5, the target facial image is matched with default face template；
A6, the matching value between the target facial image and the default face template are greater than the object matching threshold
When value, successful match is confirmed.
Wherein it is possible to carry out image quality evaluation to target facial image, the second objective appraisal value, above-mentioned first mesh are obtained
Corresponding first weight coefficient of evaluation of estimate is marked, the second objective appraisal value corresponds to the second weight coefficient, certainly, above-mentioned first weight system
Number, the second weight coefficient can by user's self-setting or system default, the first weight coefficient and the second weight coefficient it
With less than or equal to 1, the first weight coefficient, the second weight coefficient are between 0~1, third objective appraisal value=first object
Evaluation of estimate * the first weight coefficient the+the second objective appraisal value the second weight coefficient of * can also be stored in advance in face evaluating apparatus
Mapping relations between preset matching threshold and evaluation of estimate can determine third objective appraisal in turn according to the mapping relations
It is worth corresponding object matching threshold value, default face template can also be stored in advance in above-mentioned face evaluating apparatus, in turn, by target
Facial image is matched with default face template, when matching value therebetween is greater than object matching threshold value, then confirmation
With success, otherwise, it fails to match for confirmation.In the embodiment of the present application, then it is contemplated that Dynamic Matching threshold value, even high-quality, then
Matching threshold then can be improved, of poor quality, then matching threshold can reduce, since under noctovision environment, the image of shooting may not
Picture quality is good, therefore, can suitably adjust matching threshold.In this way, dynamic regulation face matching process, is conducive to for specific
Environment promotes recognition of face efficiency.
Optionally, above-mentioned steps A1 carries out image quality evaluation to the target facial image, obtains the second objective appraisal
Value, can implement as follows:
Image quality evaluation is carried out to target facial image using at least one image quality evaluation index, obtains the second mesh
Mark evaluation of estimate.
Wherein, image quality evaluation index may include following at least one: average gray, mean square deviation, entropy, edge are kept
Degree, signal-to-noise ratio etc., it is not limited here.The evaluation of estimate that may be defined as is bigger, then picture quality is better.
Still optionally further, the target facial image is matched with default face template, can be wrapped by above-mentioned steps A5
Include following steps:
A51, angle adjustment is carried out to the default face template according to the three dimensional angular angle value, obtains target and presets face
Template；
A52, feature extraction is carried out to the target facial image, obtains the first circumference and fisrt feature point set；
A53, face template progress feature extraction is preset to the target, obtain the second circumference and second feature point
Collection；
A54, first circumference is matched with second circumference, obtains the first matching value；
A55, the fisrt feature point set is matched with the second feature point set, obtains the second matching value；
A56, it is greater than the first preset threshold and second matching value in first matching value and is greater than the second preset threshold
When, using the mean value between first matching value and second matching value as the target facial image and the default people
Matching value between face template；
A57, it is less than or equal to first preset threshold in first matching value, alternatively, second matching value is small
In or equal to second preset threshold, confirm that it fails to match between the target facial image and the default face template.
In the specific implementation, above-mentioned first preset threshold, the second preset threshold can be preset or system default.People
Face evaluating apparatus can carry out angle adjustment to the default face template according to three dimensional angular angle value, obtain target and preset face mould
Plate, target adjusted presets face template can be identical as the three dimensional angular angle value of target facial image, either to be evaluated in this way
The angle of face or face template, the two is consistent, i.e., is matched in same state, to show the justice between the two matching
Property, in turn, feature extraction can be carried out to target facial image, obtain the first circumference and fisrt feature point set, it is pre- to target
If face template carries out feature extraction, the second circumference and second feature point set are obtained, it will be outside the first circumference and second
It encloses profile to be matched, obtains the first matching value, fisrt feature point set is matched with second feature point set, obtains second
With value, when the first matching value is greater than the first preset threshold and the second matching value is greater than the second preset threshold, by the first matching value
Mean value between the second matching value is as the matching value between target facial image and default face template, in the first matching value
Less than or equal to the first preset threshold, alternatively, the second matching value is less than or equal to the second preset threshold, target facial image is confirmed
It fails to match between default face template, in this way, it is preferred that face template adjustment is three-dimensional consistent with the angle value of facial image,
In turn, the matching fairness between facial image and face template is realized based on angle value, is compared by profile and characteristic point, with
This, carries out recognition of face, is able to ascend recognition of face accuracy.
In addition, the algorithm of contours extract can be following at least one: Hough transformation, canny operator etc. are not done herein
Limit, the algorithm of feature point extraction can be following at least one: Harris angle point, scale invariant feature extract transformation (scale
Invariant feature transform, SIFT) etc., it is not limited here.
Optionally, between above-mentioned steps 101- step 102, can also include the following steps:
B1, the detection x angle value whether the first preset range, the y angle value whether be in the second preset range with
And whether the z angle value is in third preset range；
B2, the x angle value is in first preset range, the y angle value is in second preset range
And the z angle value is in the third preset range, executes corresponding three weights of the acquisition three dimensional angular angle value
Step.
Wherein, above-mentioned first preset range, the second preset range and third preset range can be by user's self-settinies
Or system default.In the concrete realization, then x angle value, y angle value, z angle value only meet a certain range, to face figure
It is just significant that the angle of picture carries out evaluation, and therefore, only x angle value meets that the first preset range, that y angle value meets second is default
Then just there is real value to face evaluation in range and z angle value meets third preset range.
Optionally, before above-mentioned steps 101, can also include the following steps:
C1, target image is obtained；
C2, target detection is carried out to the target image；
C3, in the target image include personage when, obtain target environment parameter, and to the target image carry out
Image segmentation obtains the personage region；
C4, according to the mapping relations between preset environmental parameter and acquisition parameters, determine target acquisition parameters；
C5, focus is determined according to the personage region；
C6, the personage is shot according to the target acquisition parameters, the focus, obtains the target face figure
Picture.
In the specific implementation, face evaluating apparatus can first be shot, target image is obtained, in turn, to the target image
Target detection is carried out, when detecting in target image comprising personage, then environmental parameter can be obtained by environmental sensor,
In, environmental parameter can be following at least one: environmental light brightness, temperature, humidity, geographical location, magnetic interference intensity etc.,
It is not limited here, above-mentioned environmental sensor can be following at least one: ambient light sensor, temperature sensor, humidity pass
Sensor, alignment sensor, magnetic field detection sensor, etc., are not limited thereto.Above-mentioned acquisition parameters can be following at least one
Kind: exposure time, sensitivity ISO, screening-mode, white balance parameter etc. may be used also in face evaluating apparatus it is not limited here
With the mapping relations being stored in advance between preset environmental parameter and acquisition parameters, it can determine that target is clapped according to the mapping relations
Parameter is taken the photograph, it is, of course, also possible to be split to target image, obtains personage region, it, can according to the geometrical pattern of the people's object area
To determine human face region, the geometric center (such as mass center, center of gravity or center) of human face region will can also be determined as burnt
Point, and personage is shot according to target acquisition parameters, focus, target facial image is obtained, in this way, available and environment
Suitable acquisition parameters, and, it focuses to face, takes clearly facial image as much as possible.
As can be seen that obtaining target facial image, and obtain by face evaluation method described in the embodiment of the present application
The three dimensional angular angle value of target facial image, three dimensional angular angle value include x angle value, y angle value and z angle value, obtain three-dimensional perspective
It is worth corresponding three weights, wherein corresponding the first weight of target of x angle value, corresponding the second weight of target of y angle value, the angle z
The corresponding target third weight of angle value, the first weight of target, the second weight of target and target third weights sum are 1, according to the angle x
Angle value, y angle value, z angle value, the first weight of target, the second weight of target, target third weight are weighted, and obtain
Target angle angle value determines that target angle angle value is corresponding according to the mapping relations between preset angle value and angle quality evaluation value
First object evaluation of estimate in this way, being evaluated by the three-dimensional perspective to facial image be to a certain extent the matter of image
Amount quality provides foundation.
Consistent with the abovely, referring to Fig. 2, being a kind of embodiment stream of face evaluation method provided by the embodiments of the present application
Journey schematic diagram.Face evaluation method as described in this embodiment, comprising the following steps:
201, target facial image is obtained, and obtains the three dimensional angular angle value of the target facial image, the three-dimensional perspective
Value includes x angle value, y angle value and z angle value.
202, corresponding three weights of the three dimensional angular angle value are obtained, wherein the corresponding target first of the x angle value is weighed
Value, corresponding the second weight of target of the y angle value, the corresponding target third weight of the z angle value, the target first are weighed
Value, the second weight of the target and the target third weights sum are 1.
203, according to the x angle value, the y angle value, the z angle value, the first weight of the target, the target
Second weight, the target third weight are weighted, and obtain target angle angle value.
204, according to the mapping relations between preset angle value and angle quality evaluation value, the target angle angle value is determined
Corresponding first object evaluation of estimate.
205, image quality evaluation is carried out to the target facial image, obtains the second objective appraisal value.
206, corresponding first weight coefficient of first object evaluation of estimate and the second objective appraisal value pair are obtained
The second weight coefficient answered.
207, according to the first object evaluation of estimate, first weight coefficient, the second objective appraisal value, described
Two weight coefficients are weighted, and obtain third objective appraisal value.
208, according to the mapping relations between preset matching threshold and evaluation of estimate, the third objective appraisal value pair is determined
The object matching threshold value answered.
209, the target facial image is matched with default face template.
210, the matching value between the target facial image and the default face template is greater than the object matching
When threshold value, successful match is confirmed.
Wherein, face evaluation method described in above-mentioned steps 201- step 210 can refer to face described in Figure 1A and comment
The correspondence step of valence method.
As can be seen that obtaining target facial image, and obtain by face evaluation method described in the embodiment of the present application
The three dimensional angular angle value of target facial image, three dimensional angular angle value include x angle value, y angle value and z angle value, obtain three-dimensional perspective
It is worth corresponding three weights, wherein corresponding the first weight of target of x angle value, corresponding the second weight of target of y angle value, the angle z
The corresponding target third weight of angle value, the first weight of target, the second weight of target and target third weights sum are 1, according to the angle x
Angle value, y angle value, z angle value, the first weight of target, the second weight of target, target third weight are weighted, and obtain
Target angle angle value determines that target angle angle value is corresponding according to the mapping relations between preset angle value and angle quality evaluation value
First object evaluation of estimate, image quality evaluation is carried out to target facial image, obtains the second objective appraisal value, obtains the first mesh
It marks corresponding first weight coefficient of evaluation of estimate and the second objective appraisal is worth corresponding second weight coefficient, according to first object
Evaluation of estimate, the first weight coefficient, the second objective appraisal value, the second weight coefficient are weighted, and obtain third objective appraisal
Value, according to the mapping relations between preset matching threshold and evaluation of estimate, determines the corresponding object matching of third objective appraisal value
Threshold value matches target facial image with default face template, between target facial image and default face template
When matching value is greater than object matching threshold value, successful match is confirmed, in this way, evaluated by the three-dimensional perspective to facial image,
Foundation is provided for the quality of image to a certain extent, furthermore it is possible to suitably adjust matching threshold.In this way, dynamic regulation
Face matching process is conducive to promote recognition of face efficiency for specific environment.
Consistent with the abovely, specific as follows the following are the device for implementing above-mentioned face evaluation method:
Fig. 3 A is please referred to, is a kind of example structure schematic diagram of face evaluating apparatus provided by the embodiments of the present application.This
Face evaluating apparatus described in embodiment, comprising: acquiring unit 301, arithmetic element 302 and determination unit 303, specifically such as
Under:
Acquiring unit 301 for obtaining target facial image, and obtains the three dimensional angular angle value of the target facial image,
The three dimensional angular angle value includes x angle value, y angle value and z angle value, and obtains corresponding three power of the three dimensional angular angle value
Value, wherein corresponding the first weight of target of the x angle value, corresponding the second weight of target of the y angle value, the z angle
It is worth corresponding target third weight, first weight of target, the second weight of the target and the target third weights sum
It is 1；
Arithmetic element 302, for according to the x angle value, the y angle value, the z angle value, the target first
Weight, the second weight of the target, the target third weight are weighted, and obtain target angle angle value；
Determination unit 303, for determining institute according to the mapping relations between preset angle value and angle quality evaluation value
State the corresponding first object evaluation of estimate of target angle angle value.
As can be seen that obtaining target facial image, and obtain by face evaluating apparatus described in the embodiment of the present application
The three dimensional angular angle value of target facial image, three dimensional angular angle value include x angle value, y angle value and z angle value, obtain three-dimensional perspective
It is worth corresponding three weights, wherein corresponding the first weight of target of x angle value, corresponding the second weight of target of y angle value, the angle z
The corresponding target third weight of angle value, the first weight of target, the second weight of target and target third weights sum are 1, according to the angle x
Angle value, y angle value, z angle value, the first weight of target, the second weight of target, target third weight are weighted, and obtain
Target angle angle value determines that target angle angle value is corresponding according to the mapping relations between preset angle value and angle quality evaluation value
First object evaluation of estimate in this way, being evaluated by the three-dimensional perspective to facial image be to a certain extent the matter of image
Amount quality provides foundation.
Wherein, above-mentioned acquiring unit 301 can be used for realizing method described in above-mentioned steps 101,102, arithmetic element 302
It can be used for realizing that method described in above-mentioned steps 103, above-mentioned determination unit 303 can be used for realizing described by above-mentioned steps 104
Method, so analogize below.
It is described to obtain in terms of corresponding three weights of the acquisition three dimensional angular angle value in a possible example
Unit 301 is taken to be specifically used for:
Obtain target environment brightness value；
According to the mapping relations between preset ambient brightness value and mapping relations group, the target environment brightness value is determined
Corresponding target mapping relations group, each mapping relations group include the first mapping between the angle value in the direction x and the first weight
The second mapping relations between relationship and the angle value and the second weight in the direction y；
The corresponding target of the x angle value is determined according to the first mapping relations in the target mapping relations group
One weight；
The corresponding target of the y angle value is determined according to the second mapping relations in the target mapping relations group
Two weights；
The target third weight is obtained according to first weight of target, the second weight of the target.
In a possible example, if Fig. 3 B, Fig. 3 B are the another modification knot of face evaluating apparatus described in Fig. 3 A
Structure can also include: evaluation unit 304 and matching unit 305 compared with Fig. 3 A, wherein
The evaluation unit 304 obtains the second target and comments for carrying out image quality evaluation to the target facial image
Value；
The acquiring unit 301, also particularly useful for obtaining corresponding first weight coefficient of the first object evaluation of estimate, with
And second objective appraisal is worth corresponding second weight coefficient；
The arithmetic element 302, also particularly useful for according to the first object evaluation of estimate, first weight coefficient, institute
State the second objective appraisal value, second weight coefficient is weighted, obtain third objective appraisal value；
The determination unit 303, also particularly useful for according to the mapping relations between preset matching threshold and evaluation of estimate, really
The fixed third objective appraisal is worth corresponding object matching threshold value；
The matching unit 305, for matching the target facial image with default face template；
The determination unit 303, also particularly useful between the target facial image and the default face template
When matching value is greater than the object matching threshold value, successful match is confirmed.
In a possible example, the target facial image and default face template are subjected to match party described
Face, the matching unit 305 are specifically used for:
Angle adjustment is carried out to the default face template according to the three dimensional angular angle value, target is obtained and presets face mould
Plate；
Feature extraction is carried out to the target facial image, obtains the first circumference and fisrt feature point set；
Face template is preset to the target and carries out feature extraction, obtains the second circumference and second feature point set；
First circumference is matched with second circumference, obtains the first matching value；
The fisrt feature point set is matched with the second feature point set, obtains the second matching value；
It, will when first matching value is greater than the first preset threshold and second matching value is greater than the second preset threshold
Mean value between first matching value and second matching value is as the target facial image and the default face mould
Matching value between plate；
First matching value be less than or equal to first preset threshold, alternatively, second matching value be less than or
Equal to second preset threshold, confirm that it fails to match between the target facial image and the default face template.
In a possible example, as shown in Figure 3 C, Fig. 3 C is the another change of face evaluating apparatus described in Fig. 3 A
Type structure can also include: detection unit 306 compared with Fig. 3 A, specific as follows:
Detection unit 306, for detecting the x angle value, whether the first preset range, the y angle value are in
Whether two preset ranges and the z angle value are in third preset range；
By the acquiring unit 301 the x angle value is in first preset range, the y angle value is in institute
It states the second preset range and the z angle value is in the third preset range, execute the acquisition three dimensional angular angle value pair
The step of three weights answered.
It is understood that the function of each program module of the face evaluating apparatus of the present embodiment can be according to above method reality
The method specific implementation in example is applied, specific implementation process is referred to the associated description of above method embodiment, herein no longer
It repeats.
Consistent with the abovely, referring to Fig. 4, being a kind of embodiment knot of face evaluating apparatus provided by the embodiments of the present application
Structure schematic diagram.Face evaluating apparatus as described in this embodiment, comprising: at least one input equipment 1000；At least one is defeated
Equipment 2000 out；At least one processor 3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output equipment
2000, processor 3000 and memory 4000 are connected by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely touch panel, physical button or mouse.
Above-mentioned output equipment 2000 concretely display screen.
Above-mentioned memory 4000 can be high speed RAM memory, can also be nonvolatile storage (non-volatile
), such as magnetic disk storage memory.Above-mentioned memory 4000 is used to store a set of program code, above-mentioned input equipment 1000, defeated
Equipment 2000 and processor 3000 are used to call the program code stored in memory 4000 out, perform the following operations:
Above-mentioned processor 3000, is used for:
Target facial image is obtained, and obtains the three dimensional angular angle value of the target facial image, the three dimensional angular angle value packet
Include x angle value, y angle value and z angle value；
Obtain corresponding three weights of the three dimensional angular angle value, wherein corresponding the first weight of target of the x angle value,
Corresponding the second weight of target of the y angle value, the corresponding target third weight of the z angle value, first weight of target,
Second weight of target and the target third weights sum are 1；
According to the x angle value, the y angle value, the z angle value, the first weight of the target, the target second
Weight, the target third weight are weighted, and obtain target angle angle value；
According to the mapping relations between preset angle value and angle quality evaluation value, determine that the target angle angle value is corresponding
First object evaluation of estimate.
As can be seen that obtaining target facial image, and obtain by face evaluating apparatus described in the embodiment of the present application
The three dimensional angular angle value of target facial image, three dimensional angular angle value include x angle value, y angle value and z angle value, obtain three-dimensional perspective
It is worth corresponding three weights, wherein corresponding the first weight of target of x angle value, corresponding the second weight of target of y angle value, the angle z
The corresponding target third weight of angle value, the first weight of target, the second weight of target and target third weights sum are 1, according to the angle x
Angle value, y angle value, z angle value, the first weight of target, the second weight of target, target third weight are weighted, and obtain
Target angle angle value determines that target angle angle value is corresponding according to the mapping relations between preset angle value and angle quality evaluation value
First object evaluation of estimate in this way, being evaluated by the three-dimensional perspective to facial image be to a certain extent the matter of image
Amount quality provides foundation.
In a possible example, in terms of corresponding three weights of the acquisition three dimensional angular angle value, above-mentioned place
Reason device 3000 is specifically used for:
Obtain target environment brightness value；
According to the mapping relations between preset ambient brightness value and mapping relations group, the target environment brightness value is determined
Corresponding target mapping relations group, each mapping relations group include the first mapping between the angle value in the direction x and the first weight
The second mapping relations between relationship and the angle value and the second weight in the direction y；
The corresponding target of the x angle value is determined according to the first mapping relations in the target mapping relations group
One weight；
The corresponding target of the y angle value is determined according to the second mapping relations in the target mapping relations group
Two weights；
The target third weight is obtained according to first weight of target, the second weight of the target.
In a possible example, above-mentioned processor 3000 also particularly useful for:
Image quality evaluation is carried out to the target facial image, obtains the second objective appraisal value；
It obtains corresponding first weight coefficient of the first object evaluation of estimate and the second objective appraisal value is corresponding
Second weight coefficient；
According to the first object evaluation of estimate, first weight coefficient, the second objective appraisal value, second power
Weight coefficient is weighted, and obtains third objective appraisal value；
According to the mapping relations between preset matching threshold and evaluation of estimate, determine that the third objective appraisal value is corresponding
Object matching threshold value；
The target facial image is matched with default face template；
Matching value between the target facial image and the default face template is greater than the object matching threshold value
When, confirm successful match.
In a possible example, the target facial image and default face template are subjected to match party described
Face, above-mentioned processor 3000 are specifically used for:
Angle adjustment is carried out to the default face template according to the three dimensional angular angle value, target is obtained and presets face mould
Plate；
Feature extraction is carried out to the target facial image, obtains the first circumference and fisrt feature point set；
Face template is preset to the target and carries out feature extraction, obtains the second circumference and second feature point set；
First circumference is matched with second circumference, obtains the first matching value；
The fisrt feature point set is matched with the second feature point set, obtains the second matching value；
It, will when first matching value is greater than the first preset threshold and second matching value is greater than the second preset threshold
Mean value between first matching value and second matching value is as the target facial image and the default face mould
Matching value between plate；
First matching value be less than or equal to first preset threshold, alternatively, second matching value be less than or
Equal to second preset threshold, confirm that it fails to match between the target facial image and the default face template.
In a possible example, above-mentioned processor 3000 also particularly useful for:
Detecting the x angle value, whether the first preset range, the y angle value are in the second preset range and institute
State whether z angle value is in third preset range；
The x angle value is in first preset range, the y angle value is in second preset range and institute
It states z angle value and is in the third preset range, execute described the step of obtaining the three dimensional angular angle value corresponding three weights.
The embodiment of the present application also provides a kind of computer storage medium, wherein the computer storage medium can be stored with journey
Sequence, the program include some or all of any face evaluation method recorded in above method embodiment step when executing
Suddenly.
Although the application is described in conjunction with each embodiment herein, however, implementing the application claimed
In the process, those skilled in the art are by checking the attached drawing, disclosure and the appended claims, it will be appreciated that and it is real
Other variations of the existing open embodiment.In the claims, " comprising " (comprising) word is not excluded for other compositions
Part or step, "a" or "an" are not excluded for multiple situations.Claim may be implemented in single processor or other units
In several functions enumerating.Mutually different has been recited in mutually different dependent certain measures, it is not intended that these are arranged
It applies to combine and generates good effect.
It will be understood by those skilled in the art that embodiments herein can provide as method, apparatus (equipment) or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the application
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the application, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or as the one of hardware
Part can also use other distribution forms, such as pass through the wired or wireless telecommunication system of Internet or other.
The application be referring to the embodiment of the present application method, apparatus (equipment) and computer program product flow chart with/
Or block diagram describes.It should be understood that each process that can be realized by computer program instructions in flowchart and/or the block diagram and/
Or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer program instructions
To general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor to generate one
A machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although the application is described in conjunction with specific features and embodiment, it is clear that, do not departing from this Shen
In the case where spirit and scope please, it can be carry out various modifications and is combined.Correspondingly, the specification and drawings are only institute
The exemplary illustration for the application that attached claim is defined, and be considered as covered within the scope of the application any and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art the application can be carried out various modification and variations without
It is detached from spirit and scope.If in this way, these modifications and variations of the application belong to the claim of this application and its
Within the scope of equivalent technologies, then the application is also intended to include these modifications and variations.
Claims (10)
1. a kind of face evaluation method characterized by comprising
Target facial image is obtained, and obtains the three dimensional angular angle value of the target facial image, the three dimensional angular angle value includes the angle x
Angle value, y angle value and z angle value；
Obtain corresponding three weights of the three dimensional angular angle value, wherein corresponding the first weight of target of the x angle value, the y
Corresponding the second weight of target of angle value, the z angle value corresponding target third weight are first weight of target, described
The second weight of target and the target third weights sum are 1；
It is weighed according to the x angle value, the y angle value, the z angle value, the first weight of the target, the target second
Value, the target third weight are weighted, and obtain target angle angle value；
According to the mapping relations between preset angle value and angle quality evaluation value, the target angle angle value corresponding is determined
One objective appraisal value.
2. the method according to claim 1, wherein described obtain corresponding three power of the three dimensional angular angle value
Value, comprising:
Obtain target environment brightness value；
According to the mapping relations between preset ambient brightness value and mapping relations group, determine that the target environment brightness value is corresponding
Target mapping relations group, each mapping relations group includes the first mapping relations between the angle value in the direction x and the first weight,
And the second mapping relations between the angle value and the second weight in the direction y；
Determine that the corresponding target first of the x angle value is weighed according to the first mapping relations in the target mapping relations group
Value；
Determine that the corresponding target second of the y angle value is weighed according to the second mapping relations in the target mapping relations group
Value；
The target third weight is obtained according to first weight of target, the second weight of the target.
3. method according to claim 1 or 2, which is characterized in that the method also includes:
Image quality evaluation is carried out to the target facial image, obtains the second objective appraisal value；
Obtain corresponding first weight coefficient of the first object evaluation of estimate and the second objective appraisal value corresponding second
Weight coefficient；
According to the first object evaluation of estimate, first weight coefficient, the second objective appraisal value, second weight system
Number is weighted, and obtains third objective appraisal value；
According to the mapping relations between preset matching threshold and evaluation of estimate, the corresponding target of the third objective appraisal value is determined
Matching threshold；
The target facial image is matched with default face template；
When matching value between the target facial image and the default face template is greater than the object matching threshold value, really
Recognize successful match.
4. the method according to any one of claims 1 and 2, which is characterized in that described by the target facial image and pre-
If face template is matched, comprising:
Angle adjustment is carried out to the default face template according to the three dimensional angular angle value, target is obtained and presets face template；
Feature extraction is carried out to the target facial image, obtains the first circumference and fisrt feature point set；
Face template is preset to the target and carries out feature extraction, obtains the second circumference and second feature point set；
First circumference is matched with second circumference, obtains the first matching value；
The fisrt feature point set is matched with the second feature point set, obtains the second matching value；
It, will be described when first matching value is greater than the first preset threshold and second matching value is greater than the second preset threshold
Mean value between first matching value and second matching value as the target facial image and the default face template it
Between matching value；
It is less than or equal to first preset threshold in first matching value, alternatively, second matching value is less than or equal to
Second preset threshold confirms that it fails to match between the target facial image and the default face template.
5. the method according to any one of claims 1 and 2, which is characterized in that the method also includes:
Detecting the x angle value, whether the first preset range, the y angle value are in the second preset range and the z
Whether angle value is in third preset range；
The x angle value is in first preset range, the y angle value is in second preset range and the z
Angle value is in the third preset range, executes described the step of obtaining the three dimensional angular angle value corresponding three weights.
6. a kind of face evaluating apparatus characterized by comprising
Acquiring unit for obtaining target facial image, and obtains the three dimensional angular angle value of the target facial image, the three-dimensional
Angle value includes x angle value, y angle value and z angle value；And obtain corresponding three weights of the three dimensional angular angle value, wherein
Corresponding the first weight of target of the x angle value, corresponding the second weight of target of the y angle value, the z angle value are corresponding
Target third weight, first weight of target, the second weight of the target and the target third weights sum are 1；
Arithmetic element, for according to the x angle value, the y angle value, the z angle value, the first weight of the target, institute
State the second weight of target, the target third weight is weighted, obtain target angle angle value；
Determination unit, for determining the target according to the mapping relations between preset angle value and angle quality evaluation value
The corresponding first object evaluation of estimate of angle value.
7. device according to claim 6, which is characterized in that obtain corresponding three power of the three dimensional angular angle value described
Value aspect, the acquiring unit are specifically used for:
Obtain target environment brightness value；
According to the mapping relations between preset ambient brightness value and mapping relations group, determine that the target environment brightness value is corresponding
Target mapping relations group, each mapping relations group includes the first mapping relations between the angle value in the direction x and the first weight,
And the second mapping relations between the angle value and the second weight in the direction y；
Determine that the corresponding target first of the x angle value is weighed according to the first mapping relations in the target mapping relations group
Value；
Determine that the corresponding target second of the y angle value is weighed according to the second mapping relations in the target mapping relations group
Value；
The target third weight is obtained according to first weight of target, the second weight of the target.
8. device according to claim 6 or 7, which is characterized in that described device further include: evaluation unit and matching are single
Member, wherein
The evaluation unit obtains the second objective appraisal value for carrying out image quality evaluation to the target facial image；
The acquiring unit, also particularly useful for obtaining corresponding first weight coefficient of the first object evaluation of estimate and described
Second objective appraisal is worth corresponding second weight coefficient；
The arithmetic element, also particularly useful for according to the first object evaluation of estimate, first weight coefficient, second mesh
Mark evaluation of estimate, second weight coefficient are weighted, and obtain third objective appraisal value；
The determination unit, described in determining according to the mapping relations between preset matching threshold and evaluation of estimate
Third objective appraisal is worth corresponding object matching threshold value；
The matching unit, for matching the target facial image with default face template；
The determination unit is big also particularly useful for the matching value between the target facial image and the default face template
When the object matching threshold value, successful match is confirmed.
9. a kind of face evaluating apparatus, which is characterized in that including processor, memory, the memory for store one or
Multiple programs, and be configured to be executed by the processor, described program includes for executing such as any one of claim 1-5 institute
The instruction for the step in method stated.
10. a kind of computer readable storage medium, is stored with computer program, the computer program is executed by processor with reality
Existing the method according to claim 1 to 5.
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