Human face comparison method and device

A face comparison and face image technology, applied in the field of face comparison, can solve problems such as large amount of data, high cost, and multi-check workload, and achieve the effect of accurate locking.
CN107330359AInactive Publication Date: 2017-11-07深圳市深网视界科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳市深网视界科技有限公司
Publication Date
2017-11-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a human face comparison method and device. The human face comparison method comprises the steps of acquiring a human face image; extracting a global face feature, a first componential feature, a second componential feature and a third componential feature; acquiring a comparison image; extracting a global comparison feature, a first sub-feature, a second sub-feature and a third sub-feature; performing similarity comparison on the global comparison feature and the sub-features of the comparison image and the global face feature and the componential features of the human face image respectively to obtain the corresponding global similarity, first similarity, second similarity and third similarity; performing weighting summation on the similarities to obtain the comprehensive similarity. According to the invention, local features and global features of the human face are integrated and applied to human face comparison, and the comprehensive similarity can better reflect the similarity between the comparison image and the human face image. In addition, the similarity or the dissimilarity of a personalized region is magnified through increasing the corresponding weight, and a similar object of the human face image can be locked quickly and accurately.
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Description

technical field

[0001] The invention relates to face comparison technology, in particular to a method and device for face comparison. Background technique

[0002] Face comparison refers to extracting face features Ft(A) and Ft(B) respectively for two given face pictures A and B, and reflecting the similarity of faces by calculating the feature similarity S, The larger S is, the higher the similarity between face pictures A and B is. Set a threshold t, if S>t, it means that A and B are the same person.

[0003] Usually, a snapshot of A is provided, and it is compared with images of N individuals in the database to determine A's identity. However, the number of N is very large, ranging from millions to tens of millions, so it is also called large database comparison. In the existing large database comparison, the number of N is often relatively large, above 100W data level. Even if the false positive rate is 1 / 1000, there will be 100W*0.1%=1k false positives, and the a...

Claims

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