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An Illuminated Face Recognition Method Based on Complete Local Convex-Concave Patterns

A face recognition, partial technology, applied in the field of illumination face recognition

Active Publication Date: 2018-02-09
KUNMING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides a face recognition method based on complete local convex-convex pattern, which is used to solve the face recognition problem in the light environment

Method used

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  • An Illuminated Face Recognition Method Based on Complete Local Convex-Concave Patterns
  • An Illuminated Face Recognition Method Based on Complete Local Convex-Concave Patterns
  • An Illuminated Face Recognition Method Based on Complete Local Convex-Concave Patterns

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Embodiment 1

[0039] Embodiment 1: as Figure 1-7 As shown, an illuminated face recognition method based on a complete local convex-concave pattern first divides the image into blocks; then performs bilinear interpolation on each block image, so that each pixel in the image can construct 8 symmetrical directions, Then calculate the local difference of each pixel in the block image along 8 directions; then encode the sign feature and amplitude feature of the local difference; encode each pixel of each image block to obtain the central pixel feature of each image block; Next, extract the histogram feature vector from the feature matrix of the symbol feature, amplitude feature, and center pixel feature of each block image, and connect the histogram feature vectors of the block image symbol feature, amplitude feature, and center pixel feature in turn to obtain each block The histogram feature vector of the image; finally, the histogram feature vector of each block image is connected to obtain t...

Embodiment 2

[0055] Embodiment 2: as Figure 1-7 As shown, an illuminated face recognition method based on a complete local convex-concave pattern first divides the image into blocks; then performs bilinear interpolation on each block image, so that each pixel in the image can construct 8 symmetrical directions, Then calculate the local difference of each pixel in the block image along 8 directions; then encode the sign feature and amplitude feature of the local difference; encode each pixel of each image block to obtain the central pixel feature of each image block; Next, extract the histogram feature vector from the feature matrix of the symbol feature, amplitude feature, and center pixel feature of each block image, and connect the histogram feature vectors of the block image symbol feature, amplitude feature, and center pixel feature in turn to obtain each block The histogram feature vector of the image; finally, the histogram feature vector of each block image is connected to obtain t...

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Abstract

The invention relates to an illuminated face recognition method based on a complete local convex-concave pattern, which belongs to the field of pattern recognition. First, the image is divided into blocks; bilinear interpolation is performed on each block image; by encoding the sign feature and amplitude feature of the local difference of each pixel in each image block, the sign feature matrix and amplitude of each image block are obtained feature matrix. Then encode the pixels of each image block to obtain the central pixel feature matrix of each image block, and then extract the histogram features of the three feature matrices to obtain three feature vectors, and connect the three feature vectors in turn to obtain the histogram of the image block Figure feature vector; finally connect the histogram feature vector of each image block to obtain the histogram feature vector of the original image, and send the feature vector to the nearest neighbor classifier for classification to identify the identity of the original face image. The invention is an image texture description method based on second-order differential, which can effectively perform face recognition under illumination environment.

Description

technical field [0001] The invention relates to an illuminated face recognition method based on a complete local convex-concave pattern, which belongs to the technical field of pattern recognition. Background technique [0002] Local binary pattern (LBP) [L.Wang and D.C.He, "Texture classification using texture spectrum", Pattern Recognition, vol.23, pp.905-910, 1990.] is an important image feature extraction The operator has the characteristics of small amount of calculation and effective. Although LBP has achieved great success in the fields of computer vision and pattern recognition, its working mechanism still needs to be improved. Dominant local binary patterns (DLBP) [S.Liao, M.W.K.Law, and A.C.S.Chung, "Dominant local binary patterns for texture classification," IEEE Trans.ImageProcess., vol.18, no.5, pp.1107–1118, May 2009.] On the basis of all the LBP modes of the statistical image, the higher frequency modes are screened out, and the high frequency modes with a c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/162
Inventor 陈熙晋杰潘晓露
Owner KUNMING UNIV OF SCI & TECH
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