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Method and apparatus for extracting human face recognition characteristic

A feature extraction and face recognition technology, applied in the field of face recognition and face recognition systems, can solve the problems of reducing the efficiency of feature extraction and taking a lot of time.

Active Publication Date: 2008-12-17
GUANGDONG VIMICRO
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Problems solved by technology

[0015] However, in the feature extraction process of existing face recognition, a high-dimensional matrix operation of (r×c)×(r×c) is involved in the construction of the projection vector, thus making it possible to extract features from multiple sample images of each face category The collection takes a lot of time, which reduces the efficiency of feature extraction

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  • Method and apparatus for extracting human face recognition characteristic
  • Method and apparatus for extracting human face recognition characteristic
  • Method and apparatus for extracting human face recognition characteristic

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[0086] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0087] figure 1 It is an exemplary flow chart of the feature extraction method for face recognition in this embodiment of the invention. Such as figure 1 As shown, the feature extraction method for face recognition in this embodiment performs the following steps for multiple sample images of each face category:

[0088] Step 101: Perform matrix processing on a plurality of sample images of the current face category to obtain a plurality of sample image matrices respectively corresponding to the plurality of sample images of the current face category, and form the obtained plurality of sample image matrices into the current face Collection of sample image matrices for categories.

[0089] In this step, it is still assumed that the N sub-sample images ...

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Abstract

The invention discloses a method and a device of extracting features for identifying a human face. When the identification features of a human face are extracted, a plurality of sample images undergo the matrixing processing instead of the vectorization processing. Furthermore, when the projection matrix is constructed, the dimension of matrix manipulation is reduced, therefore, the average required time for extracting the feature assembly from a plurality of sample images of each human facial type is reduced so as to improve the efficiency for extracting features.

Description

technical field [0001] The present invention relates to detection technology, in particular to a feature extraction method for face recognition, a feature extraction device for face recognition, a face recognition method, and a face recognition system. Background technique [0002] Before face recognition is performed on the target image, it is first necessary to extract sample feature sets of each face category in the multiple sample images from the multiple sample images of each face category. [0003] In this way, when performing face recognition, first extract the target features from the target image containing the face to be recognized in the same way as extracting the sample feature set; then compare the extracted target features with the sample features of each face category Sets are matched, so that the face category corresponding to the sample feature set closest to the target feature can be determined as the face category to which the face to be recognized in the ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 王磊邓亚峰黄英
Owner GUANGDONG VIMICRO
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