CN104252618A - Method and system for increasing photo return speeds - Google Patents
Method and system for increasing photo return speeds Download PDFInfo
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- CN104252618A CN104252618A CN201310269450.6A CN201310269450A CN104252618A CN 104252618 A CN104252618 A CN 104252618A CN 201310269450 A CN201310269450 A CN 201310269450A CN 104252618 A CN104252618 A CN 104252618A
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Abstract
The invention provides a method and a system for increasing photo return speeds. The method includes steps of receiving human face information uploaded by mobile terminals; recognizing human faces in human face images to obtain human face groups comprising similar human faces; respectively matching the human faces in the various human face groups with figures which are preliminarily labeled in friend photo albums, and judging whether the human faces in the various human face groups are successfully matched with the figures in the friend photo albums or not; feeding matching results to the mobile terminals if the human faces in the human face groups are successfully matched with the figures in the friend photo albums. The human face information contains the human face images. The method and the system for increasing the photo return speeds in an embodiment of the invention have the advantages that the photo return speeds can be greatly increased by the aid of the method and the system, and the speeds and the efficiency can be particularly effectively guaranteed when large quantities of photos are processed.
Description
Technical field
The present invention relates to pattern-recognition and image processing field, particularly relate to a kind of photo that improves and give back the method for speed and a kind ofly improve the system that speed given back by photo.
Background technology
In recent years, along with the development of mobile terminal (as mobile phone, panel computer etc.) technology, mobile terminal has become the application tool of the most frequently used most diversification of the mankind.For mobile phone, the traditional communication such as it not only can carry out making a phone call, send short messages, can be used for taking pictures, the multiple use demand to meet user such as online especially.
At present, increasing user uses mobile terminal to take pictures to replace traditional camera.Further, after taking pictures to good friend, the photo that those are comprised good friend is needed to return to good friend.Method given back by traditional photo, arranged after obtaining photo by camera owner, filters out friend photograph and sends to each corresponding good friend.But inventor finds: employing is manually carried out arranging and given back the mode of photo, when number of pictures is more, need to take a long time and could arrange out the photo belonging to each good friend respectively, cause photo to give back slow-footed problem thus and occur.
Summary of the invention
Based on this, be necessary to give back slow-footed problem for above-mentioned photo, provide a kind of and improve the method and system that speed given back by photo.
For achieving the above object, the embodiment of the present invention adopts following technical scheme:
Improve the method that speed given back by photo, comprise the following steps:
The face information that mobile terminal receive is uploaded; Described face information comprises: facial image;
Recognition of face is carried out to described facial image, obtains the face group be made up of similar face;
Face in each face group is mated with the personage marked in advance in good friend's photograph album respectively, and judges that whether coupling is successful;
If so, matching result is then returned to described mobile terminal.
Improve the system that speed given back by photo, comprise server end, described server end comprises:
Face information receiver module, for the face information that mobile terminal receive is uploaded; Described face information comprises: facial image;
Face recognition module, for carrying out recognition of face to described facial image, obtains the face group be made up of similar face;
Judge module, for being mated with the personage marked in advance in good friend's photograph album respectively by the face in each face group, and judges that whether coupling is successful;
Result returns module, for when the judged result of described judge module is for being, returns matching result to described mobile terminal.
As can be seen from above scheme, the a kind of of the embodiment of the present invention improves the method and system that speed given back by photo, by high in the clouds recognition of face, classifies as a face group by what have a similar face, and mate with the mark personage in good friend's photograph album, thus realize automatically giving back of friend photograph.The method and system of the embodiment of the present invention carry out arranging and the mode of giving back photo owing to having abandoned Traditional Man, automatically photo is given back by person recognition, the speed of therefore giving back at photo is greatly improved, especially when process a large amount of photo, speed and efficiency all can effectively be ensured, under storing at cloud the environment generally applied, management personage photograph album that can be more convenient.
Accompanying drawing explanation
Fig. 1 a kind ofly in the embodiment of the present invention improves the schematic flow sheet that the method for speed given back by photo;
Fig. 2 a kind ofly in the embodiment of the present invention improves the structural representation that the system of speed given back by photo;
Fig. 3 a kind ofly in another embodiment of the present invention improves the structural representation that the system of speed given back by photo.
Embodiment
Be described in detail below in conjunction with the scheme of better embodiment wherein to the embodiment of the present invention.
Shown in Figure 1, a kind ofly improve the method that speed given back by photo, comprise the following steps:
Step S101, the face information that mobile terminal receive is uploaded, then enters step S102; Described face information comprises: facial image etc.
Wherein in an embodiment, before the face information that mobile terminal receive is uploaded, can also comprise the steps: that mobile terminal carries out Face datection to the photo obtained after taking pictures, obtain described face information, and described face information is uploaded; Described take pictures after the photo that obtains comprise the head portrait of the mobile terminal owner of setting.Further, wherein in an embodiment, in described face information except facial image, can also comprise: the markup information being labeled as the face of mobile terminal owner.Carry out Face datection by comparison film and can obtain proprietary facial image, simultaneously by then can obtain the markup information of the face being labeled as mobile terminal owner to the detection of the head portrait of the mobile terminal owner preset.If the object obtaining described markup information is the follow-up face carrying out identifying in the process of recognition of face mobile terminal owner, can automatically skip, other faces outside emphasis identification mobile terminal owner, can save recognition of face institute's time spent in subsequent step S102 thus, thus further speed given back by lifting photo.
It should be noted that, the above-mentioned Face datection that carries out can adopt prior art, and it will not go into details herein.
Step S102, carries out recognition of face to described facial image, obtains the face group be made up of similar face, then enters step S103.
Wherein in an embodiment, described in carry out recognition of face process specifically can comprise the steps:
Step S1021, carries out the detection & localization of human eye, facial feature localization and Attitude Calculation to described facial image;
Step S1022, carries out size normalized and the attitude correction process of face;
Step S1023, extracts the high dimensional feature of face, and sets up and upgrade face index;
Step S1024, carries out hierarchical clustering according to described index to face, similar face is classified as one group and obtains described face group.
It should be noted that, the detection & localization of above-mentioned human eye, facial feature localization, Attitude Calculation, size normalized and attitude correction process etc. all can adopt prior art, and it will not go into details herein.
Wherein in an embodiment, described in carry out hierarchical clustering process specifically can comprise the following steps:
Step S10241, according to the absolute distance between described index calculation face and relative distance, merges face when described absolute distance and relative distance are all less than predetermined threshold value;
Step S10242, being gathered by similar face according to the result of face merging is a class, and in units of class, refresh two minor sort scores of class neighbour and class;
Step S10243, carries out the merging of class according to the absolute distance between class and relative distance, until there is not the class that can merge, obtain described face group.
It should be noted that, the absolute distance between above-mentioned face refers to the COS distance between the high dimensional feature of certain face and its neighbour's face; Relative distance between described face refers to the secondary Sorting distance of two faces calculated that to sort according to the shared nearest neighbor of two faces and neighbour; In addition, the absolute distance between class refers to the absolute distance of face nearest between two classes.
Above-mentioned hierarchical clustering algorithm is applicable to having supervision and Unsupervised clustering situation, and good with the clustering performance under expression to the different attitude of same person.
Wherein in an embodiment, the high dimensional feature of described face can comprise Gabor characteristic and LBP(Local Binary Patterns, local binary patterns) feature.
In another embodiment, described index can adopt Cover Tree tree, can complete the fast search of face like this, obtains rapidly the neighbor relationships of face in retrieval face and object library; Then just by the neighbor relationships of face in retrieval face and object library, hierarchical clustering can be carried out to face.
Step S103, face in each face group is mated with the personage marked in advance in good friend's photograph album respectively, and judge that whether coupling is successful, if there is the face conformed to certain good friend in good friend's photograph album during the facial image that this mobile terminal is uploaded then is described, namely include the photo of this good friend in this batch of photo, then can enter step S104; Otherwise do not need process.
Step S104, if (the match is successful), then returns matching result to described mobile terminal.
As a good embodiment, matching result is returned to after described mobile terminal in step S104, can also comprise the steps: to point out described mobile terminal to be given back by the photo of the face comprised in this face group, thus help the rapid classified finishing of user to go out clapped friend photograph.
In addition, a kind ofly improve photo with above-mentioned to give back the method for speed corresponding, the present invention also provides a kind of and improves the system that speed given back by photo, and comprise server end (being also referred to as in " high in the clouds "), as shown in Figure 2, described server end comprises:
Face information receiver module 101, for the face information that mobile terminal receive is uploaded; Described face information comprises: facial image;
Face recognition module 102, for carrying out recognition of face to described facial image, obtains the face group be made up of similar face;
Judge module 103, for being mated with the personage marked in advance in good friend's photograph album respectively by the face in each face group, and judges that whether coupling is successful;
Result returns and reminding module 104, for when the judged result of described judge module is for being, returns matching result to described mobile terminal.
Wherein in an embodiment, can comprise in described face recognition module 102:
Location and computing module, for carrying out the detection & localization of human eye, facial feature localization and Attitude Calculation to described facial image;
Normalization and correction process module, for carrying out size normalized and the attitude correction process of face;
Characteristic extracting module, for extracting the high dimensional feature of face, and sets up and upgrades face index;
Cluster module, for carrying out hierarchical clustering according to described index to face, being classified as one group and obtaining described face group by similar face.
Wherein in an embodiment, can comprise in described cluster module:
Face merges submodule, for according to the absolute distance between described index calculation face and relative distance, is merged by face when described absolute distance and relative distance are all less than predetermined threshold value;
Hierarchical clustering submodule, it is a class that similar face gathers by the result for merging according to face, and in units of class, refresh two minor sort scores of class neighbour and class;
Class merges submodule, for carrying out the merging of class according to the absolute distance between class and relative distance, until there is not the class that can merge, obtains described face group.
It should be noted that, the absolute distance between above-mentioned face refers to the COS distance between the high dimensional feature of certain face and its neighbour's face; Relative distance between described face refers to the secondary Sorting distance of two faces calculated that to sort according to the shared nearest neighbor of two faces and neighbour; In addition, the absolute distance between class refers to the absolute distance of face nearest between two classes.
Wherein in an embodiment, the high dimensional feature of described face can comprise Gabor characteristic and LBP feature.
Wherein in an embodiment, described index can adopt Cover Tree tree, can complete the fast search of face like this, obtains rapidly the neighbor relationships of face in retrieval face and object library.
Wherein in an embodiment, as shown in Figure 3, describedly a kind ofly improve the system that photo gives back speed and can also comprise mobile terminal, face detection module 100 is specifically comprised in this mobile terminal, for carrying out Face datection to the photo obtained after taking pictures, obtain described face information, and described face information is uploaded to described server end; Described take pictures after the photo that obtains comprise the head portrait of the mobile terminal owner of setting.
Above-mentionedly a kind ofly improve other technical characteristic that photo gives back the system of speed and improve photo with a kind of in the embodiment of the present invention to give back the method for speed identical, it will not go into details herein.
Can be found out by above scheme, the a kind of of the embodiment of the present invention improves the method and system that speed given back by photo, by high in the clouds recognition of face, classifies as a face group by what have a similar face, and mate with the mark personage in good friend's photograph album, thus realize automatically giving back of friend photograph.The method and system of the embodiment of the present invention carry out arranging and the mode of giving back photo owing to having abandoned Traditional Man, automatically photo is given back by person recognition, the speed of therefore giving back at photo is greatly improved, especially when process a large amount of photo, speed and efficiency all can effectively be ensured, under storing at cloud the environment generally applied, management personage photograph album that can be more convenient.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (12)
1. improve the method that speed given back by photo, it is characterized in that, comprise the following steps:
The face information that mobile terminal receive is uploaded; Described face information comprises: facial image;
Recognition of face is carried out to described facial image, obtains the face group be made up of similar face;
Face in each face group is mated with the personage marked in advance in good friend's photograph album respectively, and judges that whether coupling is successful;
If so, matching result is then returned to described mobile terminal.
2. the method for speed given back by raising photo according to claim 1, it is characterized in that, described in carry out recognition of face process comprise:
The detection & localization of human eye, facial feature localization and Attitude Calculation are carried out to described facial image;
Carry out size normalized and the attitude correction process of face;
Extract the high dimensional feature of face, and set up and upgrade face index;
According to described index, hierarchical clustering is carried out to face, similar face is classified as one group and obtains described face group.
3. the method for speed given back by raising photo according to claim 2, it is characterized in that, described in carry out hierarchical clustering process comprise:
According to the absolute distance between described index calculation face and relative distance, when described absolute distance and relative distance are all less than predetermined threshold value, face is merged;
Being gathered by similar face according to the result of face merging is a class, and in units of class, refresh two minor sort scores of class neighbour and class;
Carry out the merging of class according to the absolute distance between class and relative distance, until there is not the class that can merge, obtain described face group.
4. the method for speed given back by raising photo according to claim 3, it is characterized in that, the high dimensional feature of described face comprises Gabor characteristic and LBP feature;
And/or
Described index adopts Cover Tree tree.
5. the method for speed given back by the raising photo according to claim 1 or 2 or 3, it is characterized in that, before the face information that mobile terminal receive is uploaded, also comprises step:
Mobile terminal carries out Face datection to the photo obtained after taking pictures, and obtains described face information, and described face information is uploaded; Described take pictures after the photo that obtains comprise the head portrait of the mobile terminal owner of setting.
6. the method for speed given back by raising photo according to claim 5, it is characterized in that, also comprises in described face information: the markup information being labeled as the face of mobile terminal owner.
7. the method for speed given back by raising photo according to claim 5, it is characterized in that, returns matching result to after described mobile terminal, also comprises step: point out described mobile terminal to be given back by the photo of the face comprised in this face group.
8. improve the system that speed given back by photo, comprise server end, it is characterized in that, described server end comprises:
Face information receiver module, for the face information that mobile terminal receive is uploaded; Described face information comprises: facial image;
Face recognition module, for carrying out recognition of face to described facial image, obtains the face group be made up of similar face;
Judge module, for being mated with the personage marked in advance in good friend's photograph album respectively by the face in each face group, and judges that whether coupling is successful;
Result returns module, for when the judged result of described judge module is for being, returns matching result to described mobile terminal.
9. the system of speed given back by raising photo according to claim 8, it is characterized in that, described face recognition module comprises:
Location and computing module, for carrying out the detection & localization of human eye, facial feature localization and Attitude Calculation to described facial image;
Normalization and correction process module, for carrying out size normalized and the attitude correction process of face;
Characteristic extracting module, for extracting the high dimensional feature of face, and sets up and upgrades face index;
Cluster module, for carrying out hierarchical clustering according to described index to face, being classified as one group and obtaining described face group by similar face.
10. the system of speed given back by raising photo according to claim 9, it is characterized in that, described cluster module comprises:
Face merges submodule, for according to the absolute distance between described index calculation face and relative distance, is merged by face when described absolute distance and relative distance are all less than predetermined threshold value;
Hierarchical clustering submodule, it is a class that similar face gathers by the result for merging according to face, and in units of class, refresh two minor sort scores of class neighbour and class;
Class merges submodule, for carrying out the merging of class according to the absolute distance between class and relative distance, until there is not the class that can merge, obtains described face group.
The system of speed given back by 11. raising photos according to claim 10, it is characterized in that, the high dimensional feature of described face comprises Gabor characteristic and LBP feature;
And/or
Described index adopts Cover Tree tree.
The system of speed given back by 12. raising photos according to claim 8, it is characterized in that, also comprise mobile terminal, described mobile terminal comprises face detection module, for carrying out Face datection to the photo obtained after taking pictures, obtain described face information, and described face information is uploaded to described server end; Described take pictures after the photo that obtains comprise the head portrait of the mobile terminal owner of setting.
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