CN103914689B - Picture method of cutting out and device based on recognition of face - Google Patents

Picture method of cutting out and device based on recognition of face Download PDF

Info

Publication number
CN103914689B
CN103914689B CN201410140768.9A CN201410140768A CN103914689B CN 103914689 B CN103914689 B CN 103914689B CN 201410140768 A CN201410140768 A CN 201410140768A CN 103914689 B CN103914689 B CN 103914689B
Authority
CN
China
Prior art keywords
picture
cutting
face
crop box
recognition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201410140768.9A
Other languages
Chinese (zh)
Other versions
CN103914689A (en
Inventor
陈柄辰
邓亚峰
陈岳峰
牛正雨
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Baidu Netcom Science and Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Priority to CN201410140768.9A priority Critical patent/CN103914689B/en
Publication of CN103914689A publication Critical patent/CN103914689A/en
Priority to PCT/CN2014/094231 priority patent/WO2015154516A1/en
Application granted granted Critical
Publication of CN103914689B publication Critical patent/CN103914689B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/179Human faces, e.g. facial parts, sketches or expressions metadata assisted face recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Library & Information Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

The invention discloses a kind of picture method of cutting out and device based on recognition of face.The method includes:Recognition of face is carried out to picture;If recognizing face, cutting out size according to face recognition result and target carries out cutting to the picture;If unidentified to face, main body significance identification is carried out to the picture, and cutting is carried out to the picture according to main body significance recognition result and target cutting size.The technical scheme of the embodiment of the present invention, it is possible to increase the cutting effect of picture, the drawbacks of overcoming in prior art because not carrying out content recognition or the not good improper caused picture cutting effect of recognizer to picture, lifts reading experience of the user to Web page picture.

Description

Picture method of cutting out and device based on recognition of face
Technical field
The present embodiments relate to technical field of image processing, more particularly to the picture method of cutting out based on recognition of face and Device.
Background technology
In webpage(Such as search results pages or products browse page)Middle insert pictures, in the mode that both pictures and texts are excellent as user's exhibition Show web page resources, embody the future development trend of the Internet Map Reading Age.
Consider each picture to be shown in webpage, its shapes and sizes would generally difference, if not to these figures Piece is processed through size and is directly shown, whole webpage can be caused to look especially mixed and disorderly, the reading experience of user is affected, Very severe visual effect can be brought sometimes even.Therefore, in order that each picture in webpage is kept on pattern is represented Unified, need to carry out picture rational cutting, such competence exertion goes out optimal to represent experience effect.
At present, traditional picture tailoring technique is typically:High figure crop bottom, wide figure cutting both sides, or cutting retain Center picture part.But, these traditional cutting methods often cause the main part in picture to be truncated, so that net The picture presented in page is looked and is most unseemly.For this purpose, prior art proposes a kind of picture tailoring technique, the technology is first Main body identification is carried out to picture first, image cropping is carried out according to main body position then.But the algorithm of main body identification is complicated, The precision of main body identification is nor very high, and sometimes main body position with character positions and mismatches in picture, therefore cuts out Cut effect still not good.
Content of the invention
The embodiment of the present invention provides the picture method of cutting out and device based on recognition of face, is imitated with improving the cutting of picture Really, overcome not good because not carrying out content recognition or the improper caused picture cutting effect of recognizer to picture in prior art The drawbacks of, lift reading experience of the user to Web page picture.
In a first aspect, embodiments providing a kind of picture method of cutting out based on recognition of face, the method includes:
Recognition of face is carried out to picture;
If recognizing face, cutting out size according to face recognition result and target carries out cutting to the picture;
If unidentified carry out main body significance identification to face to the picture, according to main body significance recognition result Cutting is carried out to the picture with target cutting size.
Second aspect, the embodiment of the present invention additionally provide a kind of picture Scissoring device based on recognition of face, the device bag Include:
Face recognition module, for carrying out recognition of face to picture;
First cutting module, if recognizing face for the face recognition module, according to face recognition result and mesh Mark cuts out size carries out cutting to the picture;
Second cutting module, if unidentified to face for the face recognition module, carries out main body to the picture Significance identification, carries out cutting according to main body significance recognition result and target cutting size to the picture.
The technical scheme that the embodiment of the present invention is proposed, carries out recognition of face to picture, first in the unidentified feelings to face Main body identification is carried out under condition, picture cutting is carried out according to face or main body recognition result then, so can ensure that in search knot Fruit page or products browse page draw above chip size keep neat, and the core letter such as the face of key, the number of people or primary objects Breath can be able to complete displaying as far as possible, will not bring severe visual effect, have very big lifting and side to image reading experience Help.Compared to content recognition or recognizer improperly picture cutting scheme is not carried out in prior art to picture, more it is avoided that Show indecency picture.
Description of the drawings
Fig. 1 is a kind of schematic flow sheet of picture method of cutting out based on recognition of face that the embodiment of the present invention one is provided;
Fig. 2 is a kind of display schematic diagram for treating cutting picture that the embodiment of the present invention one is provided;
Fig. 3 is a kind of schematic flow sheet of picture method of cutting out based on recognition of face that the embodiment of the present invention two is provided;
Fig. 4 A are the display schematic diagrams of picture to be presented on a kind of webpage of the offer of the embodiment of the present invention two;
Fig. 4 B are picture to be presented and corresponding initial crop frames on a kind of webpage of the offer of the embodiment of the present invention two Display schematic diagram;
Fig. 4 C are picture to be presented, corresponding initial crop frame and people on a kind of webpage of the offer of the embodiment of the present invention two The display schematic diagram of face identification region;
Fig. 4 D be picture to be presented on a kind of webpage that the embodiment of the present invention two is provided, the crop box after corresponding adjustment with And the display schematic diagram in recognition of face region;
Fig. 5 is a kind of structural representation of picture Scissoring device based on recognition of face that the embodiment of the present invention three is provided.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment that states is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just Part related to the present invention rather than entire infrastructure is illustrate only in description, accompanying drawing.
Embodiment one
Fig. 1 is a kind of schematic flow sheet of picture method of cutting out based on recognition of face that the embodiment of the present invention one is provided. The present embodiment is applicable to the situation for carrying out cutting when dimension of picture is larger to picture, be particularly suitable for when search results pages or In products browse page each dimension of picture disunity to be shown and larger when, these pictures are carried out with the such a applied field of cutting Scape.The method can be executed by the picture Scissoring device based on recognition of face, and described device is realized by software and/or hardware, Can be built in the electronic equipments such as smart mobile phone, panel computer, notebook computer, desktop computer or personal digital assistant.Referring to Fig. 1, specifically includes following operation based on the picture method of cutting out of recognition of face:
110th, recognition of face is carried out to picture.
In the present embodiment, picture can be set or user input treats cutting picture.Face recognition process can profit With 80 nodes or punctuate from low to high is distributed on face, carried out by measuring the spacing between eyes, cheekbone, chin etc. The detection of face.Wherein, face recognition algorithms are including but not limited to:Based on the method for template matching, it is based on singular value features Method, sub-space analysis method, locality preserving projections or PCA etc..A specific embodiment in the present embodiment In, recognition of face is carried out to picture and be may particularly include:Face characteristic model is obtained according to corpus data set in advance training, its In the corpus data be a large amount of people face feature;According to the face included in the face characteristic model inspection picture for obtaining.
If 120 recognize face, cutting out size according to face recognition result and target carries out cutting to picture.
Deposit in picture is recognized in the context of a person's face, can be further determined that in picture according to face recognition result first Comprising the number of face, position and area, number then according to face, position and area, and target cuts out size, Cutting is carried out to picture.Specifically, according to the number of the face included in picture, position and area, and tailoring ruler can be marked Very little, determine the position of crop box, and target is cut out size as the size of crop box, crop box finally according to determined by Cutting is carried out to picture.It should be noted that in embodiments of the present invention, the position of crop box refers to crop box and corresponds to Position in picture.
Wherein, face area is the area in facial contour region determined by when recognition of face is carried out to picture.The wheel Wide region can be the irregularly shaped region that can surround human face five-sense-organ, or other can surround the circle of human face five-sense-organ, square The rule shape area such as shape.Preferably, determine the area of the face included in picture, may particularly include:Determine and can surround people The minimum rectangular area of face face;Calculate rectangular area area, using result of calculation as face area.
Target cuts out size(That is the size of crop box)Can be set in advance, may also be according to the standard for setting The original size of the size of picture and picture determines in real time.Wherein, the size of normal pictures is can determine picture cutting Into which kind of size, so that the size of the picture after cutting is consistent with the size of normal pictures, or the picture after cutting The consistent size of size and normal pictures after level specific pressure contracting.The present embodiment can describe size using width * height.Example Such as, as 80*100, the original size of picture is 100*120 to the size of the normal pictures for setting, and now target is cut out size and can be 96*120,88*110 or 84*105.Obviously, the dimension scale of the normal pictures of setting is cut out dimension scale with target and is 0.8.
In the present embodiment, according to the face included in picture number, position and area, and target cuts out size Come determine crop box position when, can by the location positioning of crop box in:In the premise that crop box meets target cutting size Under, position when can draw a circle to approve position during all faces in picture, or can draw a circle to approve the maximum face of area in picture, or Person can draw a circle to approve the face of groups of people in picture and position of other people face when not being truncated.Certainly, other can also be passed through The position of crop box is for example set to the center of the maximum face of area in picture determining the position of crop box for mode Place.
If 130 unidentified carry out main body significance identification to picture to face, according to main body significance recognition result Cutting is carried out to picture with target cutting size.
Wherein, the identification of main body significance refers to the identification carried out by the significant characteristics of the main body in addition to face.Main Body can be tables and chairs, flower, food or personage etc..Unidentified to face in the case of, set algorithm can be adopted to picture Main body significance identification is carried out, for example:LAB colour space transformations are carried out to picture first;By to through colour space transformation Picture afterwards carries out DCT(Discrete CosineTransform, discrete cosine transform)Process, remove low frequency therein into Point;DCT results after low-frequency component is filtered are carried out DCT inverse transformations, so as to obtain being protected according to inverse transformation result The body region that stays, that is, the result of main body significance identification.
After main body significance recognition result is obtained, can according to main body significance recognition result and target cutting size come Determine the position of crop box, and target is cut out size as the size of crop box, crop box is to figure finally according to determined by Piece carries out cutting.Wherein it is determined that the position process of crop box can be found in above-mentioned according to face recognition result and target cutting size To determine the position process of crop box, as long as the face in will be above-mentioned replaces with main body.Will not be described here.
Preferably, if number, position according to the face included in picture or main body and area, and target cuts out Size, determine crop box position fail when, can directly using the center of picture as crop box position.
In the size and position that determine crop box, namely after determining crop box, crop box pair according to determined by Picture carries out cutting, so as to obtain the dimension scale identical picture with normal pictures, afterwards again to obtained cutting after Picture carries out level specific pressure contracting and just can obtain being suitable for web displaying, the normal pictures that size is unified.For example, the normal pictures of setting Size be 80*100, treat that the size of the picture of cutting is 100*120, the size of the picture after cutting out is 96*120, therefore need right The picture pixels of the 96*120 sizes after cutting are compressed with 96/86 ratio, to obtain the normal pictures of 80*100 sizes.
The present embodiment is the display effect after ensureing picture cutting, first the content of picture is recognized, Zhi Hougen Cutting is carried out to picture according to content recognition result.Specifically, because main body has a randomness, therefore the granularity of main body significance identification Thicker relative to recognition of face granularity, therefore when content recognition is carried out to picture, initially with face recognition scheme, do not knowing It is clipped in picture and deposits in the context of a person's face, then entity is carried out to picture and significantly recognizes.
The technical scheme that the present embodiment is proposed, it is ensured that in search results pages or products browse page draw above chip size Keep neat, and the core information such as the face of key, the number of people or primary objects can be able to complete displaying as far as possible, will not band Carry out severe visual effect, have very big lifting and help to image reading experience.Picture is not carried out compared in prior art Content recognition or recognizer improperly picture cutting scheme, is more avoided that and shows indecency picture.
Fig. 2 is a kind of display schematic diagram for treating cutting picture that the embodiment of the present invention one is provided.Referring to Fig. 2, cutting figure is treated Piece is a perpendicular figure(As tall and big in wide picture), main body personage correspondingly erects the vertical rectangular area 210 in figure, if not first Carry out recognition of face to picture, but only do the identification of main body significance, then the main body that can only draw the figure is a vertical square Shape region, it is not clear that the part of core in this main body(That is face)Position.If the perpendicular figure is cut into square When face may be cropped.If first recognition of face is done to picture, determine the position of face, then can be by crop box Position be set in and can draw a circle to approve at the position of face, so can ensure that the integrity of face after cutting.
Embodiment two
Fig. 3 is a kind of schematic flow sheet of picture method of cutting out based on recognition of face that the embodiment of the present invention two is provided. Determination operation and the determination of crop box of the present embodiment on the basis of the various embodiments described above, preferably to target cutting size Operation is done and is further optimized, so that the face and main body in the picture after cutting is not truncated as far as possible, lifts user to picture Reading experience.Referring to Fig. 3, should be included based on the picture method of cutting out of recognition of face:
310th, according to the size and the original size of picture of the normal pictures for setting, determine that the cutting method of picture is horizontal Cutting or vertical cutting;
320th, cutting method according to determined by, calculates the minimum length for needing to crop on the high or width of picture, determines The target cutting size of picture;
330th, recognition of face is carried out to picture, judges whether to recognize face, if recognizing face, execute operation 340- 360, otherwise execute operation 370-380;
340th, number, position and the area of face included in picture are determined;
350th, according to face number, position and area, and target cutting size, position the first crop box center To determine that crop box, wherein crop box meet following condition:Crop box can draw a circle to approve all faces in picture, the first crop box Center is the center of all faces in picture;
If 360 positioning failures, the number, position and area according to face, and target cutting size, again fixed At least one second crop box centers of position meet following condition to determine crop box, wherein crop box:Crop box can be enclosed Determine the face of groups of people in picture, and the face that is not drawn a circle to approve in picture will not be blocked;Continue executing with operation 390;
370th, main body significance identification is carried out to picture;
380th, the body region included according to main body significance recognition result, and target cutting size, location cutting Frame center meets following condition to determine crop box, wherein crop box:Crop box enclosed region and master firmly in picture The intersecting area area of body region reaches the threshold value of setting, center of the crop box center for intersecting area;Continue to hold Row operation 390;
390th, crop box according to determined by carries out cutting to picture.
The above-mentioned operation 310-320 cun is determined by target cutting ruler, enable to cropped fall picture minimum, protect Face or main body during card cutting picture included in picture is not truncated as far as possible.Specifically, determine that target cuts out the mistake of size Cheng Kewei:According to the size and the original size of picture of the normal pictures for setting, determine that the cutting method of picture is horizontal cutting Or vertical cutting;Cutting method according to determined by, calculates the minimum length for needing to crop on the high or width of picture;According to The minimum length for being calculated determines the target cutting size of picture;Wherein, the chi of target cutting dimension scale and normal pictures Very little ratio is identical.
For example, if the width of normal pictures is high to be respectively W1 and H1, the original wide high of picture is respectively W2 and H2.Determining mesh Mark is when cutting out size, can calculate first normal pictures aspect ratio value K1 (i.e. W1/H1) and picture original aspect ratio value K2 (i.e. W2/H2);
If K1>K2, then judge using horizontal cutting method, calculate the minimum for needing to crop on the original high H2 of picture Length is:H2-W2/K1, the target cutting size of picture is:The wide W of the picture after cutting is identical with original wide W2, after cutting The high H of picture is W2*H1/W1;
If K1<K2, then judge using vertical cutting method, calculate the minimum length for needing to crop on the wide W2 of picture For:W2-H2*K1, the target cutting size of picture is:The wide W of the picture after cutting be H2*W1/H1, the height of the picture after cutting H is identical with original high H2.
For more clearly illustrating the picture method of cutting out based on recognition of face of the present embodiment proposition, now carry out illustrating Bright.
Fig. 4 A are the display schematic diagrams of picture to be presented on a kind of webpage of the offer of the embodiment of the present invention two.Fig. 4 B are these The display schematic diagram of picture to be presented and corresponding initial crop frame on a kind of webpage that bright embodiment two is provided.Fig. 4 C are these The display of picture to be presented, corresponding initial crop frame and recognition of face region on a kind of webpage that inventive embodiments two are provided Schematic diagram.Fig. 4 D be picture to be presented on a kind of webpage that the embodiment of the present invention two is provided, the crop box after corresponding adjustment with And the display schematic diagram in recognition of face region.
Referring to Fig. 4 A, Fig. 4 B, Fig. 4 C and Fig. 4 D, as the size of normal pictures to be presented on webpage is 121*75, institute 121 be should be with target cutting dimension scale:75, initial crop frame 410 as shown in Figure 4 B, the initial crop frame 410 are illustrated Cutting method is horizontal cutting, and target cutting dimension scale is 121:75.Rectangle frame 420 shown in Fig. 4 C is surrounded Region is by the human face region that identifies.After face is recognized, according to face recognition result and target cutting size, will Initial crop frame 410 slides into the position that can draw a circle to approve the human face region surrounded by rectangle frame 420, as shown in fig.4d.
The technical scheme that the present embodiment is provided, by carrying out recognition of face to image content, detects number, the position of face Put and area, then rational cutting position is determined based on these information and target cutting size, cutting is carried out to picture, to ensure The integrity of face;If not including face in picture, then carry out main body significance identification again to picture, and be directed to picture institute Comprising body region and target cutting size determine rational cutting position, carry out picture cutting, to ensure that final picture is cut out Cut the refined of effect.
On the basis of above-mentioned technical proposal, determine in the case where face is recognized after finishing crop box, also include: If determined by crop box quantity be more than one, screen according to regular crop box to determined by is set;By filtered out The center of all crop boxs is weighted and obtains new crop box center, to determine new crop box;
Wherein, setting rule includes following at least one:Meet center to be less than or equal to set with the distance at the top of picture Fixed first threshold;The face number that can be drawn a circle to approve is more than or equal to the Second Threshold for setting;The maximum face of area can be drawn a circle to approve.
So so that after follow-up new crop box according to determined by carries out trimming operation to picture, more can guarantee that and search On rope result page or products browse page, in picture, this core information of the larger face of area is able to as far as possible complete displaying.
Embodiment three
Fig. 5 is a kind of structural representation of picture Scissoring device based on recognition of face that the embodiment of the present invention three is provided. The present embodiment is applicable to the situation for carrying out cutting when dimension of picture is larger to picture, is particularly suitable for when to be shown in webpage Each dimension of picture disunity and larger when carry out the such a application scenarios of cutting to picture.Referring to Fig. 5, the device concrete Structure includes:
Face recognition module 510, for carrying out recognition of face to picture;
First cutting module 520, if recognizing face for face recognition module 510, according to face recognition result and Target is cut out size and carries out cutting to the picture;
Second cutting module 530, if unidentified to face for face recognition module, carry out main body and shows to the picture The identification of work property, carries out cutting according to main body significance recognition result and target cutting size to the picture.
Further, the device also includes target cutting size determining module 500, in the first cutting module 520 or Before second picture of cutting module 530 pairs carries out cutting:
According to the size and the original size of the picture of the normal pictures for setting, determine that the cutting method of the picture is Laterally cutting or vertical cutting;
Cutting method according to determined by, calculates the minimum length for needing to crop on the high or width of the picture;
Minimum length according to being calculated determines the target cutting size of the picture;
Wherein, the target cutting dimension scale is identical with the dimension scale of the normal pictures.
Further, the first cutting module 520, including:
Face information determination sub-module 521, for determining number, the position dough-making powder of the face included in the picture Product;
First picture cutting submodule 522, for the number according to the face, position and area, and target is cut out Size, carries out cutting to the picture.
Further, face information determination sub-module 521, specifically for:Determine the minimum rectangle that can surround human face five-sense-organ Region;Calculate the area of the rectangular area, using result of calculation as face area.
Further, the first picture cutting submodule 522, including:
First crop box determining unit 5220, for the number according to the face, position and area, and the target Cutting size, positions the first crop box center to determine crop box;Wherein described crop box meets following condition:The sanction Cut frame and can draw a circle to approve all faces in the picture;The first crop box center is all faces in the picture Center;
Second crop box determining unit 5222, if for the positioning failure of the first crop box determining unit 4221, basis The number of the face, position and area, and the target cutting size, reposition at least one the second crop box center Position is determining crop box;Wherein described crop box meets following condition:The crop box can draw a circle to approve part in the picture The face of people, and the face that is not drawn a circle to approve in the picture will not be blocked;
Picture cutting unit 5224, carries out cutting for crop box determined by basis to the picture.
Further, the first picture cutting submodule 522 also includes crop box screening unit 5223, in the first cutting After frame determining unit 5220 or the determination of the second crop box determining unit 5222 finish crop box:
If determined by crop box quantity be more than one, screen according to regular crop box to determined by is set;Will The center of all crop boxs for filtering out is weighted and obtains new crop box center, to determine new crop box;
Wherein, the rule that sets includes following at least one:
Meet center the first threshold for setting is less than or equal to the distance at the top of the picture;
The face number that can be drawn a circle to approve is more than or equal to the Second Threshold for setting;
The maximum face of area can be drawn a circle to approve.
Further, the second cutting module 530, including:
Main body significance recognition unit 5300, if unidentified to face for the face recognition module, to the figure Piece carries out main body significance identification;
Crop box determining unit 5302, for the body region included according to main body significance recognition result, Yi Jisuo State target cutting size, location cutting frame center is determining crop box;Wherein described crop box meets following condition:Described Crop box intersecting area area of enclosed region firmly and the body region in the picture reaches the threshold value of setting;Described Crop box center is the center of the intersecting area;
Picture cutting unit 5304, carries out cutting for crop box determined by basis to the picture.
The said goods can perform the method provided by any embodiment of the present invention, possess the corresponding functional module of execution method And beneficial effect.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes, Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out by above example It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also Other Equivalent embodiments more can be included, and the scope of the present invention is determined by scope of the appended claims.

Claims (8)

1. a kind of picture method of cutting out based on recognition of face, it is characterised in that include:
Recognition of face is carried out to picture;
If recognizing face, cutting out size according to face recognition result and target carries out cutting to the picture;
If unidentified to face, main body significance identification is carried out to the picture, according to main body significance recognition result and mesh Mark cutting size carries out cutting to the picture;
Wherein, cutting out size according to face recognition result and target and carry out cutting to the picture includes:
Determine number, position and the area of face included in the picture;
Number, position and area according to the face, and target cuts out size, carries out cutting to the picture;
Wherein, according to the face number, position and area, and target cutting size, carry out cutting to the picture, wrap Include:
Number, position and area according to the face, and the target cutting size, position the first crop box center To determine crop box;Wherein described crop box meets following condition:The crop box can draw a circle to approve everyone in the picture Face;The first crop box center is the center of all faces in the picture;
If positioning failure, the number, position and area according to the face, and the target cutting size, again fixed At least one second crop box centers of position are determining crop box;Wherein described crop box meets following condition:The cutting Frame can draw a circle to approve the face of groups of people in the picture, and will not block the face that is not drawn a circle to approve in the picture;
According to determined by, crop box carries out cutting to the picture;
Wherein, after determination finishes crop box, also include:If determined by crop box quantity be more than one, according to set rule Then to determined by, crop box is screened;The center of all crop boxs for filtering out is weighted and obtains new cutting Frame center, to determine new crop box;
Wherein, the rule that sets includes following at least one:
Meet center the first threshold for setting is less than or equal to the distance at the top of the picture;
The face number that can be drawn a circle to approve is more than or equal to the Second Threshold for setting;
The maximum face of area can be drawn a circle to approve.
2. the picture method of cutting out based on recognition of face according to claim 1, it is characterised in that the picture is being entered Before row cutting, also include:
According to the size and the original size of the picture of the normal pictures for setting, determine that the cutting method of the picture is horizontal Cutting or vertical cutting;
Cutting method according to determined by, calculates the minimum length for needing to crop on the high or width of the picture;
Minimum length according to being calculated determines the target cutting size of the picture;
Wherein, the target cutting dimension scale is identical with the dimension scale of the normal pictures.
3. the picture method of cutting out based on recognition of face according to claim 1, it is characterised in that determine in the picture Comprising face area, including:Determine the minimum rectangular area that can surround human face five-sense-organ;Calculate the face of the rectangular area Product, using result of calculation as face area.
4. the picture method of cutting out based on recognition of face according to claim 1, it is characterised in that according to main body significance Recognition result and target cutting size carry out cutting to the picture, including:
According to the body region included by main body significance recognition result, and the target cutting size, in location cutting frame Heart position is determining crop box;Wherein described crop box meets following condition:The crop box in the picture enclosed firmly The intersecting area area of region and the body region reaches the threshold value of setting;The crop box center is the intersection The center in domain;
According to determined by, crop box carries out cutting to the picture.
5. a kind of picture Scissoring device based on recognition of face, it is characterised in that include:
Face recognition module, for carrying out recognition of face to picture;
First cutting module, if recognizing face for the face recognition module, cuts according to face recognition result and target Tailor's measure cun carries out cutting to the picture;
Second cutting module, if unidentified to face for the face recognition module, carries out main body to the picture notable Property identification, cutting is carried out to the picture according to main body significance recognition result and target cutting size;
Wherein, the first cutting module, including:
Face information determination sub-module, for determining number, position and the area of the face included in the picture;
First picture cutting submodule, for the number according to the face, position and area, and target cuts out size, right The picture carries out cutting;
Wherein, the first picture cutting submodule, including:
First crop box determining unit, for the number according to the face, position and area, and the target cutting ruler Very little, position the first crop box center to determine crop box;Wherein described crop box meets following condition:The crop box energy All faces in the picture are enough drawn a circle to approve;The first crop box center is the centre bit of all faces in the picture Put;
Second crop box determining unit, if for the first crop box determining unit positioning failure, according to the face Number, position and area, and the target cutting size repositions at least one the second crop box center with true Determine crop box;Wherein described crop box meets following condition:The crop box can draw a circle to approve the face of groups of people in the picture, And the face that is not drawn a circle to approve in the picture will not be blocked;
Picture cutting unit, carries out cutting for crop box determined by basis to the picture;
Wherein, the first picture cutting submodule also includes crop box screening unit, for determining in first crop box After unit or the determination of the second crop box determining unit finish crop box:
If determined by crop box quantity be more than one, screen according to regular crop box to determined by is set;Will screening The center of all crop boxs for going out is weighted and obtains new crop box center, to determine new crop box;
Wherein, the rule that sets includes following at least one:
Meet center the first threshold for setting is less than or equal to the distance at the top of the picture;
The face number that can be drawn a circle to approve is more than or equal to the Second Threshold for setting;
The maximum face of area can be drawn a circle to approve.
6. the picture Scissoring device based on recognition of face according to claim 5, it is characterised in that also include target cutting Size determining module, for before the first cutting module or the second cutting module carry out cutting to the picture:
According to the size and the original size of the picture of the normal pictures for setting, determine that the cutting method of the picture is horizontal Cutting or vertical cutting;
Cutting method according to determined by, calculates the minimum length for needing to crop on the high or width of the picture;
Minimum length according to being calculated determines the target cutting size of the picture;
Wherein, the target cutting dimension scale is identical with the dimension scale of the normal pictures.
7. the picture Scissoring device based on recognition of face according to claim 5, it is characterised in that the face information is true Stator modules, specifically for:Determine the minimum rectangular area that can surround human face five-sense-organ;The area of the rectangular area is calculated, will Area of the result of calculation as face.
8. the picture Scissoring device based on recognition of face according to claim 5, it is characterised in that the second cutting mould Block, including:
Main body significance recognition unit, if unidentified to face for the face recognition module, leads to the picture Body significance is recognized;
Crop box determining unit, for the body region included according to main body significance recognition result, and the target is cut out Cut size, location cutting frame center is determining crop box;Wherein described crop box meets following condition:The crop box exists In the picture, the intersecting area area of enclosed region firmly and the body region reaches the threshold value of setting;In the crop box Heart position is the center of the intersecting area;
Picture cutting unit, carries out cutting for crop box determined by basis to the picture.
CN201410140768.9A 2014-04-09 2014-04-09 Picture method of cutting out and device based on recognition of face Active CN103914689B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201410140768.9A CN103914689B (en) 2014-04-09 2014-04-09 Picture method of cutting out and device based on recognition of face
PCT/CN2014/094231 WO2015154516A1 (en) 2014-04-09 2014-12-18 Face recognition-based picture cutting method, device and apparatus, and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410140768.9A CN103914689B (en) 2014-04-09 2014-04-09 Picture method of cutting out and device based on recognition of face

Publications (2)

Publication Number Publication Date
CN103914689A CN103914689A (en) 2014-07-09
CN103914689B true CN103914689B (en) 2017-03-15

Family

ID=51040358

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410140768.9A Active CN103914689B (en) 2014-04-09 2014-04-09 Picture method of cutting out and device based on recognition of face

Country Status (2)

Country Link
CN (1) CN103914689B (en)
WO (1) WO2015154516A1 (en)

Families Citing this family (66)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103914689B (en) * 2014-04-09 2017-03-15 百度在线网络技术(北京)有限公司 Picture method of cutting out and device based on recognition of face
CN105335925A (en) * 2014-07-30 2016-02-17 北京畅游天下网络技术有限公司 Picture clipping method and browser device
CN104952027A (en) * 2014-10-11 2015-09-30 腾讯科技(北京)有限公司 Face-information-contained picture cutting method and apparatus
CN104392202A (en) * 2014-10-11 2015-03-04 北京中搜网络技术股份有限公司 Image-identification-based automatic cutting method
CN104360854B (en) * 2014-11-03 2018-08-10 联想(北京)有限公司 A kind of information processing method and electronic equipment
CN104484853A (en) * 2014-12-24 2015-04-01 北京奇虎科技有限公司 Method and device for clipping pictures containing graphical signs
CN104484855B (en) * 2014-12-24 2018-03-27 北京奇虎科技有限公司 The method and apparatus that picture is cut
CN104484854A (en) * 2014-12-24 2015-04-01 北京奇虎科技有限公司 Cropping method and device for people pictures
WO2016101767A1 (en) * 2014-12-24 2016-06-30 北京奇虎科技有限公司 Picture cropping method and device and image detecting method and device
CN104504649A (en) * 2014-12-30 2015-04-08 百度在线网络技术(北京)有限公司 Picture cutting method and device
CN105825243A (en) * 2015-01-07 2016-08-03 阿里巴巴集团控股有限公司 Method and device for certificate image detection
WO2016179808A1 (en) * 2015-05-13 2016-11-17 Xiaoou Tang An apparatus and a method for face parts and face detection
CN104866565B (en) * 2015-05-21 2019-03-12 百度在线网络技术(北京)有限公司 Image searching method and device
CN106326823B (en) * 2015-07-07 2020-06-30 北京神州泰岳软件股份有限公司 Method and system for obtaining head portrait in picture
CN105528786B (en) * 2015-12-04 2019-10-01 小米科技有限责任公司 Image processing method and device
CN105469074A (en) * 2015-12-23 2016-04-06 苏州汇莱斯信息科技有限公司 Face recognition algorithm based on singular value decomposition
CN106920141A (en) * 2015-12-28 2017-07-04 阿里巴巴集团控股有限公司 Page presentation content processing method and device
CN105787869A (en) * 2016-02-18 2016-07-20 王萌 Face identification screenshot method
CN105718439B (en) * 2016-03-04 2018-10-26 广州微印信息科技有限公司 A kind of photo automatic composing method based on recognition of face
CN105761205B (en) * 2016-03-17 2018-12-11 网易有道信息技术(北京)有限公司 A kind of picture put-on method and device
CN107437051A (en) * 2016-05-26 2017-12-05 上海市公安局刑事侦查总队 Image processing method and device
CN106383707A (en) * 2016-09-07 2017-02-08 努比亚技术有限公司 Picture display method and system
CN107009412B (en) * 2017-04-12 2019-05-28 广东工业大学 A kind of certificate photo automatic cutting method, apparatus and system
CN107291342B (en) * 2017-05-03 2020-01-31 广东小天才科技有限公司 read-on-demand data copying and outlining method and device
CN107240105A (en) * 2017-06-05 2017-10-10 深圳市茁壮网络股份有限公司 A kind of image cropping method and device
CN107463914A (en) * 2017-08-11 2017-12-12 环球智达科技(北京)有限公司 Image cutting method
CN107562877A (en) * 2017-09-01 2018-01-09 北京搜狗科技发展有限公司 Display methods, device and the device shown for view data of view data
WO2019071386A1 (en) * 2017-10-09 2019-04-18 深圳传音通讯有限公司 Image data processing method and device
CN109657526B (en) * 2017-10-12 2020-12-01 飞狐信息技术(天津)有限公司 Intelligent picture cutting method and system based on face recognition
CN108062755B (en) * 2017-11-02 2020-10-02 广东数相智能科技有限公司 Intelligent picture clipping method and device
CN108154515A (en) * 2017-12-27 2018-06-12 三星电子(中国)研发中心 Picture shows method and apparatus
CN108364295A (en) * 2018-01-08 2018-08-03 武汉斗鱼网络科技有限公司 A kind of cropping method and system
CN108597003A (en) * 2018-04-20 2018-09-28 腾讯科技(深圳)有限公司 A kind of article cover generation method, device, processing server and storage medium
CN108647590A (en) * 2018-04-25 2018-10-12 董志忠 A kind of intelligence head portrait Processing Algorithm
CN108776970B (en) * 2018-06-12 2021-01-12 北京字节跳动网络技术有限公司 Image processing method and device
CN109448001B (en) * 2018-10-26 2021-08-27 世纪开元智印互联科技集团股份有限公司 Automatic picture clipping method
CN109447072A (en) * 2018-11-08 2019-03-08 北京金山安全软件有限公司 Thumbnail clipping method and device, electronic equipment and readable storage medium
CN109712164A (en) * 2019-01-17 2019-05-03 上海携程国际旅行社有限公司 Image intelligent cut-out method, system, equipment and storage medium
CN110223301B (en) * 2019-03-01 2021-08-03 华为技术有限公司 Image clipping method and electronic equipment
CN109919156B (en) * 2019-03-13 2022-07-19 网易传媒科技(北京)有限公司 Training method, medium and device of image cropping prediction model and computing equipment
CN111652015B (en) * 2019-03-27 2024-04-26 上海铼锶信息技术有限公司 Method and system for selecting key faces in picture
CN110297927B (en) * 2019-05-17 2022-07-29 百度在线网络技术(北京)有限公司 Article publishing method, device, equipment and storage medium
CN110189378B (en) * 2019-05-23 2022-03-04 北京奇艺世纪科技有限公司 Video processing method and device and electronic equipment
CN110264396B (en) * 2019-06-27 2022-11-18 杨骥 Video face replacement method, system and computer readable storage medium
CN110349082B (en) * 2019-06-28 2023-08-29 腾讯科技(深圳)有限公司 Image area clipping method and device, storage medium and electronic device
CN110334653A (en) * 2019-07-08 2019-10-15 聚好看科技股份有限公司 Image processing method, device and equipment in video communication
CN110706150A (en) * 2019-07-12 2020-01-17 北京达佳互联信息技术有限公司 Image processing method, image processing device, electronic equipment and storage medium
CN110782392B (en) * 2019-07-12 2023-11-14 北京达佳互联信息技术有限公司 Image processing method, device, electronic equipment and storage medium
CN110580678B (en) * 2019-09-10 2023-06-20 北京百度网讯科技有限公司 Image processing method and device
CN110807361B (en) * 2019-09-19 2023-08-08 腾讯科技(深圳)有限公司 Human body identification method, device, computer equipment and storage medium
CN112541934B (en) * 2019-09-20 2024-02-27 百度在线网络技术(北京)有限公司 Image processing method and device
CN110750664B (en) * 2019-10-15 2023-03-28 腾讯科技(深圳)有限公司 Picture display method and device
CN111062279B (en) * 2019-12-04 2023-06-06 深圳先进技术研究院 Photo processing method and photo processing device
CN111079662A (en) * 2019-12-19 2020-04-28 江苏云从曦和人工智能有限公司 Figure identification method and device, machine readable medium and equipment
CN111125526B (en) * 2019-12-24 2023-03-14 腾讯科技(深圳)有限公司 Content pushing method and device based on artificial intelligence and electronic equipment
CN113095119B (en) * 2020-01-09 2023-11-21 北京君正集成电路股份有限公司 Face recognition system for correcting face cutting frame
CN111243061B (en) * 2020-01-21 2022-12-20 苏宁云计算有限公司 Commodity picture generation method, device and system
CN111462121A (en) * 2020-03-23 2020-07-28 上海携程商务有限公司 Image cropping method, system, device and medium based on image semantic understanding
CN111524145B (en) * 2020-04-13 2024-06-04 北京智慧章鱼科技有限公司 Intelligent picture cropping method, intelligent picture cropping system, computer equipment and storage medium
CN113709354A (en) * 2020-05-20 2021-11-26 华为技术有限公司 Shooting method and electronic equipment
CN114359301B (en) * 2020-09-29 2024-05-28 合肥君正科技有限公司 Face clipping optimization method of self-adaptive expansion coefficient
CN112016548B (en) * 2020-10-15 2021-02-09 腾讯科技(深圳)有限公司 Cover picture display method and related device
CN112927241A (en) * 2021-03-08 2021-06-08 携程旅游网络技术(上海)有限公司 Picture capturing and thumbnail generating method, system, equipment and storage medium
CN113159026A (en) * 2021-03-31 2021-07-23 北京百度网讯科技有限公司 Image processing method, image processing apparatus, electronic device, and medium
CN113763242A (en) * 2021-05-17 2021-12-07 腾讯科技(深圳)有限公司 Image processing method and device and computer readable storage medium
CN116543004B (en) * 2023-07-05 2024-04-19 荣耀终端有限公司 Image cutting method, device, terminal equipment and computer readable storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101685620A (en) * 2008-09-26 2010-03-31 鸿富锦精密工业(深圳)有限公司 Display device capable of adjusting image and image adjusting method
CN102063709A (en) * 2011-01-12 2011-05-18 中山大学 Method for improving picture composition effect of digital camera
CN103369244A (en) * 2012-04-10 2013-10-23 奥林巴斯映像株式会社 Image synthesis apparatus and image synthesis method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103914689B (en) * 2014-04-09 2017-03-15 百度在线网络技术(北京)有限公司 Picture method of cutting out and device based on recognition of face

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101685620A (en) * 2008-09-26 2010-03-31 鸿富锦精密工业(深圳)有限公司 Display device capable of adjusting image and image adjusting method
CN102063709A (en) * 2011-01-12 2011-05-18 中山大学 Method for improving picture composition effect of digital camera
CN103369244A (en) * 2012-04-10 2013-10-23 奥林巴斯映像株式会社 Image synthesis apparatus and image synthesis method

Also Published As

Publication number Publication date
CN103914689A (en) 2014-07-09
WO2015154516A1 (en) 2015-10-15

Similar Documents

Publication Publication Date Title
CN103914689B (en) Picture method of cutting out and device based on recognition of face
CN106803067B (en) Method and device for evaluating quality of face image
CN110930297B (en) Style migration method and device for face image, electronic equipment and storage medium
CN110082135A (en) Equipment fault recognition methods, device and terminal device
CN108921800A (en) Non-local mean denoising method based on form adaptive search window
CN102890820B (en) Based on shearlet conversion and the image de-noising method of Wiener filtering
CN103279936B (en) Human face fake photo based on portrait is synthesized and modification method automatically
CN105184249A (en) Method and device for processing face image
CN103208097B (en) Filtering method is worked in coordination with in the principal component analysis of the multi-direction morphosis grouping of image
CN101615245A (en) Expression recognition method based on AVR and enhancing LBP
CN103810490A (en) Method and device for confirming attribute of face image
CN104933679B (en) A kind of method and its correspondence system of enlarged drawing
CN103632672A (en) Voice-changing system, voice-changing method, man-machine interaction system and man-machine interaction method
CN109712095B (en) Face beautifying method with rapid edge preservation
CN107563974A (en) Image de-noising method, device, electronic equipment and storage medium
CN104331683B (en) A kind of facial expression recognizing method with noise robustness
CN106780582A (en) Based on the image significance detection method that textural characteristics and color characteristic are merged
CN109325903A (en) The method and device that image stylization is rebuild
CN107680057A (en) The method and device of ultrasonoscopy enhancing
CN109829510A (en) A kind of method, apparatus and equipment of product quality classification
CN109741273A (en) A kind of mobile phone photograph low-quality images automatically process and methods of marking
CN105528616A (en) Face recognition method and device
CN109669537B (en) A kind of man-machine interactive system based on computer virtual interface
CN105678208B (en) Method and device for extracting face texture
CN113177941B (en) Steel coil edge crack identification method, system, medium and terminal

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant