Method and device for fusing multiple feature weights for face recognition

A technology for feature recognition and face recognition, which is applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of not considering the occlusion factors of face images and the deterioration of face recognition accuracy, so as to improve the recognition performance , reduce the effect of misunderstanding

Active Publication Date: 2014-07-02
HANVON CORP
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Problems solved by technology

[0006] However, in the solutions of the prior art, the occlusion factor of the face image is not considered, so in the case of occlusion, the accuracy of face recognition will deteriorate

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  • Method and device for fusing multiple feature weights for face recognition
  • Method and device for fusing multiple feature weights for face recognition
  • Method and device for fusing multiple feature weights for face recognition

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Embodiment Construction

[0016] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0017] In face recognition applications, it may be affected by occlusion conditions or light source conditions. The recognition performance of each feature is not constant under different occlusion conditions or light source conditions. Therefore, under different occlusion conditions or light source conditions, the optimal weight of feature fusion is also changing.

[0018] The present invention proposes a multi-feature weight fusion method for face recognition, which is an adaptive optimal feature weighting scheme, which can solve the problem that the performance of the fixed weight scheme decreases when the performance of different features changes due to changes in occlusion conditions or light source conditions. The ...

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Abstract

The invention discloses a method and device for fusing multiple feature weights for face recognition. The method includes the steps of (1) obtaining face images under different sheltering conditions or different light source conditions to construct a training sample set; (2) by means of the training sample set, training a sheltering model or a light source model; (3) dividing samples in the training sample set into test images and template images, wherein the test images and the template images which accord with specific conditions are used for constructing a weight training set; (4) on the basis of the weight training set, constructing weight functions for N identification features for weight fusion, and determining the optimal value of each weight parameter; (5) according to images to be recognized, calculating N template images with the shortest distances and corresponding to the images to be recognized under the N identification features, and when the N template images are from the same person, carrying out weight fusion on the N identification features by means of the weight functions and the optimal weights. By means of the method and device, the face recognition rate can be improved.

Description

technical field [0001] The invention belongs to the technical fields of image processing, computer vision and pattern recognition, and in particular relates to a multi-feature weight fusion method and device for face recognition. Background technique [0002] Biometric feature recognition technology is an effective technology for identification, and the fastest growing recently is face recognition technology and biometric feature recognition technology integrated with face recognition technology. Therefore, the present invention relates to a face recognition algorithm and has important application value. [0003] With the promotion of practical applications, the problems and difficulties of face recognition have gradually become prominent. Changes in face occluders such as glasses, bangs, and beards will cause differences in different environments for one person to be greater than differences for different people in the same environment. In unconstrained scene applications...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00
Inventor 黄磊彭菲
Owner HANVON CORP
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