CN105046246A - Identification photo camera capable of performing human image posture photography prompting and human image posture detection method - Google Patents
Identification photo camera capable of performing human image posture photography prompting and human image posture detection method Download PDFInfo
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- CN105046246A CN105046246A CN201510547359.5A CN201510547359A CN105046246A CN 105046246 A CN105046246 A CN 105046246A CN 201510547359 A CN201510547359 A CN 201510547359A CN 105046246 A CN105046246 A CN 105046246A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/60—Static or dynamic means for assisting the user to position a body part for biometric acquisition
- G06V40/67—Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user
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Abstract
The present invention discloses an identification photo camera capable of performing human image posture photography prompting and a human image posture detection method. The identification photo camera comprises a human image feature acquisition module, a facial feature detection module, a human face size and position detection module, a human image photography distance detection module, a human face state detection module and a shoulder state detection module. The method comprises: acquiring human image feature data of a preview frame image; and according to the acquired human image feature data, judging whether facial features are complete or not, the size and position of the human face meet requirements or not, a distance from a photographed person to a camera head is an optimal photography distance range or not, the human face is regular or not, and the shoulders are flush or not. According to the identification photo camera and the method, professional human image posture photography prompting can be provided for a user, and operation is performed according to the photography prompting, so that the photography quality of an identification photo is greatly improved.
Description
Technical field
The present invention relates to a kind of the license camera and the portrait pose detection method that carry out portrait posture shooting prompting, belong to certificate photograph shooting and processing technology field.
Background technology
People go photo studio carry out when certificate photograph (certificate photograph refers to the photo that certificate making as legal in I.D., passport, Hong Kong pass, Macao's pass, the Taiwan pass, exit permit, residence permit, social security card etc. uses) is taken all can have a lot of shooting detail, as: head can not askew, eyes will open direct-view camera, face will close, expression natural relaxation, both shoulders will be set level, professional shooting personnel can point out.
But, Internet era, the demand that people adopt intelligent terminal to be in and take certificate photograph is voluntarily more and more stronger, but there is no again a professional license camera can taking prompting to user at present, therefore how to make user also have the shooting prompting of specialty when intelligent terminal is taken pictures, become the problem that industry personnel need solution badly.
Summary of the invention
The object of the invention is the defect in order to solve above-mentioned prior art, provide a kind of license camera carrying out portrait posture shooting prompting, this license camera can provide the portrait posture shooting of specialty to point out for user, operate according to shooting prompting, greatly improve the shooting quality of certificate photograph.
Another object of the present invention is to provide a kind of portrait pose detection method.
Object of the present invention can reach by taking following technical scheme:
Can carry out the license camera of portrait posture shooting prompting, described license camera comprises:
Portrait feature acquisition module, for obtaining the portrait characteristic of preview frame image; Wherein, described portrait characteristic comprises eyes, nose, ear, face, facial contour, trunk profile, portrait profile, the crown and chin characteristic;
Face detection module, for will obtain eyes, nose, ear, face, the crown and chin characteristic, compare with the standard feature preset, judge that whether face are complete, if so, then face are visible, if not, then transfer default information and carry out shooting prompting;
Face size position detecting module, for when face are visible, according to the eyes obtained, ear, the crown and chin characteristic, or according to the facial contour feature data obtained, judge whether face size position meets the requirements, if so, then by detecting, if not, then transfer default information and carry out shooting prompting;
Portrait distance detection module, for the portrait profile characteristic according to acquisition, calculate the accounting of portrait size with preview frame picture traverse, calculate the people that is taken to the distance of camera according to accounting, judge whether this distance meets best shooting distance scope, if, then by detecting, if not, being then set to by shooting push button can not screening-mode, transfers default information simultaneously and carries out shooting prompting;
Face state detection module, for according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting;
Shoulder state detection module, for according to the trunk contour feature data obtained, judges whether shoulder flushes, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting.
Further, according to the eyes obtained, ear, the crown and chin characteristic, described face size position detecting module judges whether face size position meets the requirements, and specifically comprises:
According to certificate photograph specifications parameter in template picture, set up license standard test models;
Relevance calculating is carried out to eyes, ear, the crown and chin characteristic, the relevance result of calculating and the parameter preset of license standard test models is compared, judges whether to meet the requirements, if, then by detecting, if not, then transfer default information and carry out shooting prompting.
Further, described certificate photograph specifications parameter comprises: intercept frame to template picture left and right margins, intercept frame to template picture to top margin, the crown to masterplate picture top sides apart from, ear edge contour to template picture dual-side apart from, eyes to intercepting arch minimum edge distance, eyes to intercepting the maximum back gauge of arch, chin to intercepting arch minimum edge distance, chin is to intercepting the maximum back gauge of arch, head minimum widith, head breadth extreme, eye distance minimum widith and eye distance breadth extreme.
Further, described face size position detecting module, according to the facial contour feature data obtained, judges whether face size position meets the requirements, and specifically comprises:
Judge facial contour position whether in the standard faces profile preset, if not, then face size position is undesirable; If so, calculate facial contour area, judge facial contour area whether in default facial contour areal extent, if so, then face size position meets the requirements, and if not, then face size position is undesirable;
When face size position is undesirable, transfers default information and carry out shooting prompting.
Further, described face state detection module, according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and specifically comprises:
According to eye feature data, generate two lines, calculate the angle in two lines and preview frame image level direction, judge whether this angle exceeds preset range;
According to eyes, nose and face characteristic, obtain the center point coordinate of two lines, obtain the centre coordinate of nose, obtain the centre coordinate of face, fitting a straight line is done to three points and obtains straight line LC, calculate the angle of this straight line LC and preview frame image vertical direction, judge whether this angle exceeds preset range;
According to facial contour feature data, obtain the center of gravity line FLC of human face region vertical direction, calculate the center of gravity line FLC of human face region vertical direction and the distance DC of straight line LC, calculate the ratio of this distance DC and human face region width, judge whether this ratio exceeds preset range;
If the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width does not all exceed preset range, then face is rectified, by detecting; If any one in the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width exceeds preset range, then face is not rectified, and transfers default information and carries out shooting prompting.
Further, described shoulder state detection module, according to the trunk contour feature data obtained, judges whether shoulder flushes, and specifically comprises:
To trunk profile coordinate array, fit to a polygon, calculate the coordinate (X1 that polygonal center of gravity obtains center of gravity, Y1), calculate the distance Dweight of X1 and preview frame image vertical center of gravity line, calculate the ratio of distance Dweight and preview frame picture traverse WF, judge whether this ratio exceeds preset range;
To trunk profile coordinate array, adopt minimum enclosed rectangle algorithm, obtain a minimum rectangle, calculate the angle of rectangular vertical center of gravity line and preview frame image vertical center of gravity line, judge whether this angle exceeds preset range;
If the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line does not all exceed preset range, then shoulder flushes, by detecting; If any one in the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line exceedes preset range, then shoulder does not flush, and transfers default information and carries out shooting prompting.
Another object of the present invention can reach by taking following technical scheme:
Portrait pose detection method, be applied in license camera, described method comprises:
Described license camera obtains the portrait characteristic of preview frame image; Wherein, described portrait characteristic comprises eyes, nose, ear, face, facial contour, trunk profile, portrait profile, the crown and chin characteristic;
Described license camera is by the eyes of acquisition, nose, ear, face, the crown and chin characteristic, and compare with the standard feature preset, judge that whether face are complete, if so, then face are visible, if not, then transfers default information and carries out shooting prompting;
When face are visible, described license camera according to the eyes obtained, ear, the crown and chin characteristic, or according to the facial contour feature data obtained, judge whether face size position meets the requirements, if so, then by detecting, if not, then transfer default information and carry out shooting prompting;
Described license camera is according to the portrait profile characteristic obtained, calculate the accounting of portrait size with preview frame picture traverse, the people that the is taken distance to camera is calculated according to accounting, judge whether this distance meets best shooting distance scope, if so, then by detecting, if not, then being set to by shooting push button can not screening-mode, transfers default information simultaneously and carries out shooting prompting;
Described license camera, according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting;
Described license camera, according to the trunk contour feature data obtained, judges whether shoulder flushes, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting.
Further, according to the eyes obtained, ear, the crown and chin characteristic, described license camera judges whether face size position meets the requirements, and specifically comprises:
According to certificate photograph specifications parameter in template picture, set up license standard test models;
Relevance calculating is carried out to eyes, ear, the crown and chin characteristic, the relevance result of calculating and the parameter preset of license standard test models is compared, judges whether to meet the requirements, if, then by detecting, if not, then transfer default information and carry out shooting prompting.
Further, described certificate photograph specifications parameter comprises: intercept frame to template picture left and right margins, intercept frame to template picture to top margin, the crown to masterplate picture top sides apart from, ear edge contour to template picture dual-side apart from, eyes to intercepting arch minimum edge distance, eyes to intercepting the maximum back gauge of arch, chin to intercepting arch minimum edge distance, chin is to intercepting the maximum back gauge of arch, head minimum widith, head breadth extreme, eye distance minimum widith and eye distance breadth extreme.
Further, described license camera, according to the facial contour feature data obtained, judges whether face size position meets the requirements, and specifically comprises:
Judge facial contour position whether in the standard faces profile preset, if not, then face size position is undesirable; If so, calculate facial contour area, judge facial contour area whether in default facial contour areal extent, if so, then face size position meets the requirements, and if not, then face size position is undesirable;
When face size position is undesirable, transfers default information and carry out shooting prompting.
Further, described license camera, according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and specifically comprises:
According to eye feature data, generate two lines, calculate the angle in two lines and preview frame image level direction, judge whether this angle exceeds preset range;
According to eyes, nose and face characteristic, obtain the center point coordinate of two lines, obtain the centre coordinate of nose, obtain the centre coordinate of face, fitting a straight line is done to three points and obtains straight line LC, calculate the angle of this straight line LC and preview frame image vertical direction, judge whether this angle exceeds preset range;
According to facial contour feature data, obtain the center of gravity line FLC of human face region vertical direction, calculate the center of gravity line FLC of human face region vertical direction and the distance DC of straight line LC, calculate the ratio of this distance DC and human face region width, judge whether this ratio exceeds preset range;
If the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width does not all exceed preset range, then face is rectified, by detecting; If any one in the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width exceeds preset range, then face is not rectified, and transfers default information and carries out shooting prompting.
Further, described license camera, according to the trunk contour feature data obtained, judges whether shoulder flushes, and specifically comprises:
To trunk profile coordinate array, fit to a polygon, calculate the coordinate (X1 that polygonal center of gravity obtains center of gravity, Y1), calculate the distance Dweight of X1 and preview frame image vertical center of gravity line, calculate the ratio of distance Dweight and preview frame picture traverse WF, judge whether this ratio exceeds preset range;
To trunk profile coordinate array, adopt minimum enclosed rectangle algorithm, obtain a minimum rectangle, calculate the angle of rectangular vertical center of gravity line and preview frame image vertical center of gravity line, judge whether this angle exceeds preset range;
If the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line does not all exceed preset range, then shoulder flushes, by detecting; If any one in the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line exceedes preset range, then shoulder does not flush, and transfers default information and carries out shooting prompting.
The present invention has following beneficial effect relative to prior art:
1, license camera of the present invention and method can realize automatically detecting whether face are visible, whether face size position meets the requirements, whether portrait distance meets the requirements, whether face is rectified, whether shoulder flushes, and provide the promptings such as voice, word or figure, making user utilize intelligent terminal to take pictures also has the portrait posture shooting prompting of specialty, operate according to shooting prompting, greatly improve the shooting quality of certificate photograph.
2, license camera of the present invention and method can set up a license standard test models, relevance calculating is carried out to the eyes obtained, ear, the crown and chin characteristic, the relevance result of calculating and the parameter preset of license standard test models are compared, the detection of portrait size position can be carried out fast in real time.
3, license camera of the present invention and method are by detecting the range difference of center of gravity line and the ratio of human face region width of the angle of the angle of eyes line and preview frame image level direction, place between the eyebrows (central points of two lines) nose face position line and preview frame image vertical direction, place between the eyebrows nose face position line and human face region vertical direction, whether these three dimensions detect face and rectify, guarantee the accuracy detected, instead of detect from a dimension simply.
4, license camera of the present invention and method are calculated by the misalignment angle (angle of rectangular vertical center of gravity line and preview frame image vertical center of gravity line) of the judgement of trunk profile center of gravity, trunk profile minimum enclosed rectangle and guarantee whether shoulder flushes the accuracy of detection.
Accompanying drawing explanation
Fig. 1 is the schematic diagram that the license camera of the embodiment of the present invention 1 judges portrait feature.
Fig. 2 is the license camera function module map of the embodiment of the present invention 1.
Fig. 3 is the license standard test models figure of the embodiment of the present invention 1.
Fig. 4 is the portrait pose detection method process flow diagram of the embodiment of the present invention 2.
Fig. 5 is the portrait pose detection method process flow diagram of the embodiment of the present invention 3.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
Embodiment 1:
License camera is mounted in the APP (Application on intelligent terminal, application program), it can have Android version and iOS version, be responsible for shooting a width and meet the former figure of license that certificate making uses, the former figure of license refers to by user by license camera captured in real-time gained, according to the useful region of license standard cutting image, and the image informations such as color, brightness, background, personage's biological characteristic are without the view data of any process.
And the license camera of the present embodiment for be portrait posture detection in shooting process, shooting prompting can be carried out according to the testing result of portrait posture.
As shown in Figure 1, in the process of shooting, view-finder can be caught image according to the frame rate of default and is kept in buffer zone with the form of preview frame image, and carry out portrait feature extraction by license characteristics of image identification thread object, the detailed process of portrait feature extraction is as follows:
1) the preview frame image got is converted to gray level image;
2) upper part of the body characteristic region detection is carried out to gray level image, when upper part of the body characteristic region being detected, this area pixel information is saved as region rectangle data structure above the waist, and ROI region is above the waist arranged to gray level image, be designated as ROIB;
3) detection of facial contour feature data area is carried out to ROIB, when facial contour feature data area being detected, this area pixel information is saved as facial contour region rectangle data structure, and facial contour ROI region is arranged to gray level image, be designated as ROIF;
4) eyes characteristic region detection is carried out to the specific region of ROIF, when eyes characteristic region being detected, this area pixel information is saved as eyes region rectangle data structure, and obtain the coordinate of eyes, with the ROI region top that the Y-axis minimum point of eyes is new, facial contour feature data area is got to the region of below eyes, be set to nose target ROI region, be designated as ROIN;
5) ears characteristic region detection being carried out to ROIF, when ears characteristic region being detected, this area pixel information being saved as ears region rectangle data structure;
6) nose characteristic region detection is carried out to ROIN, when nose characteristic region being detected, this area pixel information is saved as nasal area rectangle data structure, using the base of nasal area rectangle data structure as the top margin of new ROI region, nose is got with lower area to facial contour feature data, be set to face target ROI region, be designated as ROIM;
7) face characteristic region detection being carried out to ROIM, when face characteristic region being detected, this area pixel information being saved as face region rectangle data structure;
8) to the region of ROIB, cut out the region removing ROIF, obtain trunk contour feature data area ROIMB, this area pixel information is saved as trunk contour area rectangle data structure;
9) rim detection is carried out to ROIF, obtain the line segment at the sign mutation edge in contouring head regional extent, then carry out head convex closure contour detecting to this head edge line segment result, the coordinate of the key point obtained by head convex closure contour detecting saves as contouring head array;
10) rim detection is carried out to ROIMB, obtain the line segment at the sign mutation edge within the scope of trunk contour area, then carry out trunk convex closure contour detecting to this trunk edge line segment result, the coordinate of the key point obtained by trunk convex closure contour detecting saves as trunk profile array;
11) contouring head array and trunk number of contours group are combined, form portrait profile array.
By the extraction of above-mentioned portrait feature, namely eyes, nose, ear, face, facial contour, trunk profile, portrait profile characteristic is obtained, crown characteristic can be obtained according to eye position, this part has detailed introduction in other patent document, do not repeat them here, the characteristic of chin is also obtain according to same principle.
Certificate photo portrait feature judges that object receives the feature detection index result of license characteristics of image identification thread object by result treatment handle, namely the portrait characteristic of preview frame image is got, then carry out portrait feature association to calculate, the relevance result calculated and the license canonical parameter preset are compared, judge whether to meet the requirements, if undesirable, then transfer default information and carry out shooting prompting (as promptings such as voice, word or figures).Detect portrait posture and whether meet certificate photo standard, two schemes can be adopted, a kind of is directly detect the image photographed, if meet certificate photo standard, then cutting is carried out to image, another kind first carries out cutting to the image photographed, and after cutting, just whether detected image meets certificate photo standard; And the detection dimensions of portrait posture has: whether face are visible, whether face size position meets, whether face is rectified, whether shoulder flushes.
Therefore, the license camera of the present embodiment has portrait feature acquisition module, face detection module, face size position detecting module, portrait distance detection module, face state detection module and shoulder state detection module six functions module, as shown in Figure 2; Described portrait feature acquisition module, face detection module, face size position detecting module, portrait distance detection module, face state detection module and shoulder state detection module, concrete function is as follows:
Described portrait feature acquisition module, for obtaining the portrait characteristic of preview frame image; Wherein, described portrait characteristic comprises eyes, nose, ear, face, facial contour, trunk profile, portrait profile, the crown and chin characteristic.
Described face detection module, for will obtain eyes, nose, ear, face, the crown and chin characteristic, compare with the standard feature preset, judge that whether face are complete, if, then face are visible, if not, then transfer default information and carry out shooting prompting promptings such as () voice, word or figures.
Described face size position detecting module, for when face are visible, according to the eyes obtained, ear, the crown and chin characteristic, or according to the facial contour feature data obtained, judge whether face size position meets the requirements, if so, then by detecting, if not, then transfer default information and carry out shooting prompting promptings such as () voice, word or figures, as face is too small, please be excessive near camera/face, please away from camera;
According to the eyes obtained, ear, the crown and chin characteristic, described face size position detecting module judges whether face size position meets the requirements, and specifically comprises:
1) in template picture according to certificate photograph specifications parameter, set up license standard test models, this license standard test models as shown in Figure 3, middle square frame is the intercepting frame of effective picture, for the certificate photograph of cutting production standard, as previously described, detect portrait posture and whether meet certificate photo standard, two schemes can be adopted, a kind of is directly detect the image photographed, if meet certificate photo standard, then cutting is carried out to image, another kind first carries out cutting to the image photographed, after cutting, just whether detected image meets certificate photo standard, therefore, following certificate photograph specifications parameter all may use:
Intercept the left and right margins (W) of frame to template picture, intercept frame to template picture to top margin (H);
The crown (containing hair) is to masterplate picture top sides apart from (A), and ear edge contour (not containing hair or other guide) is to template picture dual-side apart from (B);
Eyes are to intercepting arch minimum edge apart from (C1), and eyes are to the intercepting maximum back gauge of arch (C2);
Chin is to intercepting arch minimum edge apart from (D1), and chin is to the intercepting maximum back gauge of arch (D2);
Head minimum widith (E1), head breadth extreme (E2);
Eye distance minimum widith (F1), eye distance breadth extreme (F2);
2) after license standard test models is set up, preserve in a database, when obtaining the portrait characteristic of preview frame image, relevance calculating is carried out to eyes, ear, the crown and chin characteristic, the parameter preset (i.e. certificate photograph specifications parameter) of the relevance result calculated and license standard test models is compared, judges whether to meet the requirements, if, then by detecting, if not, then transfer default information and carry out shooting prompting.
Described face size position detecting module, according to the facial contour feature data obtained, judges whether face size position meets the requirements, and specifically comprises:
1) judge facial contour position whether in the standard faces profile preset, if not, then face size position is undesirable; If so, calculate facial contour area, judge facial contour area whether in default facial contour areal extent, if so, then face size position meets the requirements, and if not, then face size position is undesirable;
2) when face size position is undesirable, transfer default information and carry out shooting prompting.
Described portrait distance detection module, for the portrait profile characteristic according to acquisition, calculate the accounting of portrait size with preview frame picture traverse, the people that the is taken distance to camera is calculated according to accounting, judge whether this distance meets best shooting distance scope (as 70cm ~ 90cm), if, then by detecting, if not, if crossed nearly (being less than 70cm), then can produce shooting pattern distortion, if crossed (being greater than 90cm) far away, then not fogging clear, therefore too far away or too close all discontented sufficient certificate photograph standard-required, then being set to by shooting push button can not screening-mode, transfer default information simultaneously and carry out shooting prompting,
Described face state detection module, for according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, if, then by detecting, if not, then transfer default information to carry out shooting and point out promptings such as () voice, word or figures;
Described face state detection module, according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and specifically comprises:
1) according to eye feature data, generate two lines, calculate the angle in two lines and preview frame image level direction, judge whether this angle exceeds preset range (as 4 ~ 6 degree);
2) according to eyes, nose and face characteristic, obtain central point (i.e. place between the eyebrows) coordinate of two lines, obtain the centre coordinate of nose, obtain the centre coordinate of face, fitting a straight line is done to three points and obtains straight line LC, calculate the angle of this straight line LC and preview frame image vertical direction, judge whether this angle exceeds preset range (as 4 ~ 6 degree);
3) according to facial contour feature data, obtain the center of gravity line FLC of human face region vertical direction, calculate the center of gravity line FLC of human face region vertical direction and the distance DC of straight line LC, calculate the ratio of this distance DC and human face region width, judge whether this ratio exceeds preset range (8 ~ 12%);
4) if the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width does not all exceed preset range, then face is rectified, by detecting; If any one in the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width exceeds preset range, then face is not rectified, and transfers default information and carries out shooting prompting.
Above-mentioned LC, FLC and DC are used to refer to specific noun, do not have particular meaning.
Described shoulder state detection module, for according to the trunk contour feature data obtained, judges whether shoulder flushes, if so, then by detecting, if not, then transfer default information and carry out shooting prompting promptings such as () voice, word or figures, as asymmetric in left and right shoulder, please adjust;
Described shoulder state detection module, according to the trunk contour feature data obtained, judges whether shoulder flushes, and specifically comprises:
1) to trunk profile coordinate array, fit to a polygon, calculate the coordinate (X1 that polygonal center of gravity obtains center of gravity, Y1), calculate the distance Dweight of X1 and preview frame image vertical center of gravity line, calculate the ratio Δ w=Dweight/WF of distance Dweight and preview frame picture traverse WF, judge whether ratio Δ w exceeds preset range (as 0 ~ 5%);
2) to trunk profile coordinate array, adopt minimum enclosed rectangle algorithm, obtain a minimum rectangle, calculate the angle theta rect of rectangular vertical center of gravity line and preview frame image vertical center of gravity line, judge whether angle theta rect exceeds preset range (as 4 ~ 6 degree);
3) if the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line does not all exceed preset range, then shoulder flushes, by detecting; If any one in the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line exceedes preset range, then shoulder does not flush, and transfers default information and carries out shooting prompting.
Embodiment 2:
As shown in Figure 4, present embodiments provide a kind of portrait pose detection method, be applied in license camera, comprise the following steps:
The portrait characteristic of S1, acquisition preview frame image; Wherein, described portrait characteristic comprises eyes, nose, ear, face, facial contour, trunk profile, portrait profile, the crown and chin characteristic;
S2, the eyes by obtaining, nose, ear, face, the crown and chin characteristic, compare with the standard feature preset, judge that whether face are complete, if so, then face are visible, enter step S3; If not, then face are invisible, transfer default information and carry out shooting prompting;
S3, the eyes according to obtaining, ear, the crown and chin characteristic judge whether face size position meets the requirements, and specifically comprises:
S31, in template picture according to certificate photograph specifications parameter, set up license standard test models;
S32, relevance calculating is carried out to eyes, ear, the crown and chin characteristic, the relevance result of calculating and the parameter preset of license standard test models are compared, judge whether to meet the requirements, if, then by detecting, enter step S4, if not, then transfer default information and carry out shooting prompting;
S4, according to obtain portrait profile characteristic, calculate the accounting of portrait size with preview frame picture traverse, the people that the is taken distance to camera is calculated according to accounting, judge whether this distance meets best shooting distance scope, if so, then by detecting, enter step S5, if not, being then set to by shooting push button can not screening-mode, transfers default information simultaneously and carries out shooting prompting;
S5, the eyes according to obtaining, nose, face and facial contour feature data, judge whether face is rectified, and specifically comprises:
S51, according to eye feature data, generate two lines, calculate the angle in two lines and preview frame image level direction, judge whether this angle exceeds preset range;
S52, according to eyes, nose and face characteristic, obtain the center point coordinate of two lines, obtain the centre coordinate of nose, obtain the centre coordinate of face, fitting a straight line is done to three points and obtains straight line LC, calculate the angle of this straight line LC and preview frame image vertical direction, judge whether this angle exceeds preset range;
S53, according to facial contour feature data, obtain the center of gravity line FLC of human face region vertical direction, calculate the center of gravity line FLC of human face region vertical direction and the distance DC of straight line LC, calculate the ratio of this distance DC and human face region width, judge whether this ratio exceeds preset range;
If the ratio of the angle of the angle in S54 two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width does not all exceed preset range, then face is rectified, and by detecting, enters step S6; If any one in the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width exceeds preset range, then face is not rectified, and transfers default information and carries out shooting prompting;
S6, according to obtain trunk contour feature data, judge whether shoulder flushes, and specifically comprises:
S61, to trunk profile coordinate array, fit to a polygon, calculate the coordinate (X1 that polygonal center of gravity obtains center of gravity, Y1), calculate the distance Dweight of X1 and preview frame image vertical center of gravity line, calculate the ratio Δ w=Dweight/WF of distance Dweight and preview frame picture traverse WF, judge whether ratio Δ w exceeds preset range;
S62, to trunk profile coordinate array, adopt minimum enclosed rectangle algorithm, obtain a minimum rectangle, calculate the angle theta rect of rectangular vertical center of gravity line and preview frame image vertical center of gravity line, judge whether angle theta rect exceeds preset range;
If the angle of the ratio of S63 distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line does not all exceed preset range, then shoulder flushes, by detecting; If any one in the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line exceedes preset range, then shoulder does not flush, and transfers default information and carries out shooting prompting.
Embodiment 3:
As shown in Figure 5, the portrait pose detection method of the present embodiment and the difference part of embodiment 2 are step S3, as follows:
S3, according to obtain facial contour feature data, judge whether face size position meets the requirements, and is specially:
Judge facial contour position whether in the standard faces profile preset, if not, then face size position is undesirable, transfers default information and carries out shooting and point out; If so, calculate facial contour area, judge facial contour area whether in default facial contour areal extent, if so, then face size position meets the requirements, and enters step S4, if not, then face size position is undesirable, transfers default information and carries out shooting prompting.
In sum, license camera of the present invention and method can realize automatically detecting whether face are visible, whether face size position meets the requirements, whether portrait distance meets the requirements, whether face is rectified, whether shoulder flushes, and provide the promptings such as voice, word or figure, making user use intelligent terminal to take pictures also has the shooting prompting of specialty, operate according to shooting prompting, greatly improve the shooting quality of certificate photograph.
The above; be only patent preferred embodiment of the present invention; but the protection domain of patent of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the scope disclosed in patent of the present invention; be equal to according to the technical scheme of patent of the present invention and inventive concept thereof and replace or change, all belonged to the protection domain of patent of the present invention.
Claims (12)
1. can carry out the license camera of portrait posture shooting prompting, it is characterized in that: described license camera comprises:
Portrait feature acquisition module, for obtaining the portrait characteristic of preview frame image; Wherein, described portrait characteristic comprises eyes, nose, ear, face, facial contour, trunk profile, portrait profile, the crown and chin characteristic;
Face detection module, for will obtain eyes, nose, ear, face, the crown and chin characteristic, compare with the standard feature preset, judge that whether face are complete, if so, then face are visible, if not, then transfer default information and carry out shooting prompting;
Face size position detecting module, for when face are visible, according to the eyes obtained, ear, the crown and chin characteristic, or according to the facial contour feature data obtained, judge whether face size position meets the requirements, if so, then by detecting, if not, then transfer default information and carry out shooting prompting;
Portrait distance detection module, for the portrait profile characteristic according to acquisition, calculate the accounting of portrait size with preview frame picture traverse, calculate the people that is taken to the distance of camera according to accounting, judge whether this distance meets best shooting distance scope, if, then by detecting, if not, being then set to by shooting push button can not screening-mode, transfers default information simultaneously and carries out shooting prompting;
Face state detection module, for according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting;
Shoulder state detection module, for according to the trunk contour feature data obtained, judges whether shoulder flushes, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting.
2. the license camera carrying out portrait posture shooting prompting according to claim 1, it is characterized in that: according to the eyes obtained, ear, the crown and chin characteristic, described face size position detecting module judges whether face size position meets the requirements, and specifically comprises:
According to certificate photograph specifications parameter in template picture, set up license standard test models;
Relevance calculating is carried out to eyes, ear, the crown and chin characteristic, the relevance result of calculating and the parameter preset of license standard test models is compared, judges whether to meet the requirements, if, then by detecting, if not, then transfer default information and carry out shooting prompting.
3. the license camera carrying out portrait posture shooting prompting according to claim 2, it is characterized in that: described certificate photograph specifications parameter comprises: intercept the left and right margins of frame to template picture, intercept frame to template picture to top margin, the crown is to masterplate picture top sides distance, ear edge contour is to template picture dual-side distance, eyes are to intercepting arch minimum edge distance, eyes are to the maximum back gauge of intercepting arch, chin is to intercepting arch minimum edge distance, chin is to the maximum back gauge of intercepting arch, head minimum widith, head breadth extreme, eye distance minimum widith and eye distance breadth extreme.
4. the license camera carrying out portrait posture shooting prompting according to claim 1, is characterized in that: described face size position detecting module, according to the facial contour feature data obtained, judges whether face size position meets the requirements, and specifically comprises:
Judge facial contour position whether in the standard faces profile preset, if not, then face size position is undesirable; If so, calculate facial contour area, judge facial contour area whether in default facial contour areal extent, if so, then face size position meets the requirements, and if not, then face size position is undesirable;
When face size position is undesirable, transfers default information and carry out shooting prompting.
5. the license camera carrying out portrait posture shooting prompting according to claim 1, is characterized in that: described face state detection module, according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and specifically comprises:
According to eye feature data, generate two lines, calculate the angle in two lines and preview frame image level direction, judge whether this angle exceeds preset range;
According to eyes, nose and face characteristic, obtain the center point coordinate of two lines, obtain the centre coordinate of nose, obtain the centre coordinate of face, fitting a straight line is done to three points and obtains straight line LC, calculate the angle of this straight line LC and preview frame image vertical direction, judge whether this angle exceeds preset range;
According to facial contour feature data, obtain the center line FLC of human face region vertical direction, calculate the center line FLC of human face region vertical direction and the distance DC of straight line LC, calculate the ratio of this distance DC and human face region width, judge whether this ratio exceeds preset range;
If the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width does not all exceed preset range, then face is rectified, by detecting; If any one in the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width exceeds preset range, then face is not rectified, and transfers default information and carries out shooting prompting.
6. the license camera carrying out portrait posture shooting prompting according to claim 1, is characterized in that: described shoulder state detection module, according to the trunk contour feature data obtained, judges whether shoulder flushes, and specifically comprises:
To trunk profile coordinate array, fit to a polygon, calculate the coordinate (X1 that polygonal center of gravity obtains center of gravity, Y1), calculate the distance Dweight of X1 and preview frame image vertical center of gravity line, calculate the ratio of distance Dweight and preview frame picture traverse WF, judge whether this ratio exceeds preset range;
To trunk profile coordinate array, adopt minimum enclosed rectangle algorithm, obtain a minimum rectangle, calculate the angle of rectangular vertical center of gravity line and preview frame image vertical center of gravity line, judge whether this angle exceeds preset range;
If the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line does not all exceed preset range, then shoulder flushes, by detecting; If any one in the angle of the ratio of distance Dweight and preview frame picture traverse WF, rectangular vertical center of gravity line and preview frame image vertical center of gravity line exceedes preset range, then shoulder does not flush, and transfers default information and carries out shooting prompting.
7. portrait pose detection method, is applied in license camera, it is characterized in that: described method comprises:
Described license camera obtains the portrait characteristic of preview frame image; Wherein, described portrait characteristic comprises eyes, nose, ear, face, facial contour, trunk profile, portrait profile, the crown and chin characteristic;
Described license camera is by the eyes of acquisition, nose, ear, face, the crown and chin characteristic, and compare with the standard feature preset, judge that whether face are complete, if so, then face are visible, if not, then transfers default information and carries out shooting prompting;
When face are visible, described license camera according to the eyes obtained, ear, the crown and chin characteristic, or according to the facial contour feature data obtained, judge whether face size position meets the requirements, if so, then by detecting, if not, then transfer default information and carry out shooting prompting;
Described license camera is according to the portrait profile characteristic obtained, calculate the accounting of portrait size with preview frame picture traverse, the people that the is taken distance to camera is calculated according to accounting, judge whether this distance meets best shooting distance scope, if so, then by detecting, if not, then being set to by shooting push button can not screening-mode, transfers default information simultaneously and carries out shooting prompting;
Described license camera, according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting;
Described license camera, according to the trunk contour feature data obtained, judges whether shoulder flushes, and if so, then by detecting, if not, then transfers default information and carries out shooting prompting.
8. portrait pose detection method according to claim 7, is characterized in that: according to the eyes obtained, ear, the crown and chin characteristic, described license camera judges whether face size position meets the requirements, and specifically comprises:
According to certificate photograph specifications parameter in template picture, set up license standard test models;
Relevance calculating is carried out to eyes, ear, the crown and chin characteristic, the relevance result of calculating and the parameter preset of license standard test models is compared, judges whether to meet the requirements, if, then by detecting, if not, then transfer default information and carry out shooting prompting.
9. portrait pose detection method according to claim 8, it is characterized in that: described certificate photograph specifications parameter comprises: intercept frame to template picture left and right margins, intercept frame to template picture to top margin, the crown to masterplate picture top sides apart from, ear edge contour to template picture dual-side apart from, eyes to intercepting arch minimum edge distance, eyes to intercepting the maximum back gauge of arch, chin to intercepting arch minimum edge distance, chin is to intercepting the maximum back gauge of arch, head minimum widith, head breadth extreme, eye distance minimum widith and eye distance breadth extreme.
10. portrait pose detection method according to claim 7, is characterized in that: described license camera, according to the facial contour feature data obtained, judges whether face size position meets the requirements, and specifically comprises:
Judge facial contour position whether in the standard faces profile preset, if not, then face size position is undesirable; If so, calculate facial contour area, judge facial contour area whether in default facial contour areal extent, if so, then face size position meets the requirements, and if not, then face size position is undesirable;
When face size position is undesirable, transfers default information and carry out shooting prompting.
11. portrait pose detection methods according to claim 7, is characterized in that: described license camera, according to the eyes obtained, nose, face and facial contour feature data, judges whether face is rectified, and specifically comprises:
According to eye feature data, generate two lines, calculate the angle in two lines and preview frame image level direction, judge whether this angle exceeds preset range;
According to eyes, nose and face characteristic, obtain the center point coordinate of two lines, obtain the centre coordinate of nose, obtain the centre coordinate of face, fitting a straight line is done to three points and obtains straight line LC, calculate the angle of this straight line LC and preview frame image vertical direction, judge whether this angle exceeds preset range;
According to facial contour feature data, obtain the center of gravity line FLC of human face region vertical direction, calculate the center of gravity line FLC of human face region vertical direction and the distance DC of straight line LC, calculate the ratio of this distance DC and human face region width, judge whether this ratio exceeds preset range;
If the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width does not all exceed preset range, then face is rectified, by detecting; If any one in the ratio of the angle of the angle in two lines and preview frame image level direction, straight line LC and preview frame image vertical direction, distance DC and human face region width exceeds preset range, then face is not rectified, and transfers default information and carries out shooting prompting.
12. portrait pose detection methods according to claim 7, is characterized in that: described license camera, according to the trunk contour feature data obtained, judges whether shoulder flushes, and specifically comprises:
To trunk profile coordinate array, fit to a polygon, calculate the coordinate (X1 that polygonal center of gravity obtains center of gravity, Y1), calculate the distance Dweight of X1 and preview frame image vertical center of gravity line, calculate the ratio of distance Dweight and preview frame width W F, judge whether this ratio exceeds preset range;
To trunk profile coordinate array, adopt minimum enclosed rectangle algorithm, obtain a minimum rectangle, calculate the angle of rectangular vertical center of gravity line and preview frame image vertical center of gravity line, judge whether this angle exceeds preset range;
If the angle of the ratio of distance Dweight and preview frame width W F, rectangular vertical center of gravity line and preview frame image vertical center of gravity line does not all exceed preset range, then shoulder flushes, by detecting; If any one in the angle of the ratio of distance Dweight and preview frame width W F, rectangular vertical center of gravity line and preview frame image vertical center of gravity line exceedes preset range, then shoulder does not flush, and transfers default information and carries out shooting prompting.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5968079A (en) * | 1982-10-09 | 1984-04-17 | Nireko:Kk | Automatic reader of mark character on internal surface of tube |
| CN101216881A (en) * | 2007-12-28 | 2008-07-09 | 北京中星微电子有限公司 | A method and device for automatic image acquisition |
| CN104284075A (en) * | 2013-07-06 | 2015-01-14 | 上海科宇营销策划有限公司 | Picture collecting automatic shooting system |
-
2015
- 2015-08-31 CN CN201510547359.5A patent/CN105046246B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5968079A (en) * | 1982-10-09 | 1984-04-17 | Nireko:Kk | Automatic reader of mark character on internal surface of tube |
| CN101216881A (en) * | 2007-12-28 | 2008-07-09 | 北京中星微电子有限公司 | A method and device for automatic image acquisition |
| CN104284075A (en) * | 2013-07-06 | 2015-01-14 | 上海科宇营销策划有限公司 | Picture collecting automatic shooting system |
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