Face recognition method based on multi-kernel authentication color space

A color space and color face technology, applied in the field of face recognition, can solve problems such as difficulty in fully adapting to the nonlinear characteristics of face images, and difficulty in ensuring the recognition effect.

Active Publication Date: 2016-07-06
中通服网盈科技有限公司
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Problems solved by technology

[0009] The DCS method is based on linear discriminant analysis technology, and it is difficult to fully adapt to the complex nonlinear characteristics of face images (for example, illumination changes, expression changes, posture changes, etc.), so it is difficult to guarantee the recognition effect

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  • Face recognition method based on multi-kernel authentication color space
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  • Face recognition method based on multi-kernel authentication color space

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Embodiment Construction

[0050] Below in conjunction with the accompanying drawings and specific embodiments, the technical solutions of the present invention are described in further detail:

[0051] figure 1 This is a flow chart of the face recognition method based on multi-core discrimination color space of the present invention, and its specific content will not be repeated here.

[0052] The experimental verification uses the FaceRecognitionGrandChallenge(FRGC)version2Experiment4 color face database (P.J.Phillips,P.J.Flynn,T.Scruggs,K.Bowyer,J.Chang,K.Hoffman,J.Marques,J.Min,andW.Worek.OverviewoftheFaceRecognitionGrandChallenge.IEEEConf . Computer Vision and Pattern Recognition, vol. 1, pp. 947-954, 2005.). The database is large in scale and includes three sub-databases: training, target, and query. The training sub-database contains 12,776 pictures of 222 people, the target sub-database contains 16,028 pictures of 466 people, and the query sub-database contains 8,014 pictures of 466 people. Th...

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Abstract

The invention discloses a face recognition method based on a multi-kernel authentication color space. A multi-kernel learning technology is applied to a color face image, and three color components of the color face image are independently mapped by three different nonlinear kernels and are then subjected to color space transformation through a multi-kernel authentication color space method. In a new multi-kernel authentication color space, the characteristics of each color component are independently extracted by an enhanced Fisher linear authentication model method, the characteristic vectors of three color components of each color face image are connected into one column vector in series, and then, a nearest neighbor classifier is used to carry out classification and recognition. The face recognition method is high in recognition effect, and the classification capability of the authentication characteristics is obviously improved after the color face image is transformed to the multi-kernel authentication color space.

Description

technical field [0001] The invention relates to a face recognition method based on multi-core discrimination color space, and belongs to the technical field of face recognition. Background technique [0002] Existing face recognition methods for discriminating color spaces (DCS) (C. Liu, "Learning the uncorrelated, independent, and discriminating color spaces for face recognition", IEEE Trans. Information Forensics and Security, vol. 3, no. 2, pp. 213-222, 2008.) through a linear Transform W ∈ R 3×3 Transform a color image from RGB color space to discriminative color space: [0003] D 1 ( x , y ) D 2 ( x , ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/168G06V40/172G06V10/56G06F18/24147
Inventor 刘茜陈曦陈书圆张赟荆晓远
Owner 中通服网盈科技有限公司
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