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Face recognition method under illumination change condition

A technology of lighting conditions and face recognition, applied in the field of face recognition, to achieve good recognition effect and the effect of invariance of viewing angle

Inactive Publication Date: 2015-04-29
SUZHOU FUFENG TECH
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  • Claims
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Problems solved by technology

However, in practical applications, this condition is often not necessarily met, so consider solving this problem by simulating face images under virtual lighting conditions

Method used

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Embodiment Construction

[0014] The specific neural network model uses radial basis function network. It is simple in calculation, fast in learning convergence, avoids local minimum, and has the characteristics of unique approximation; due to the support of perfect mathematical theory, it has good promotion ability: it is better than BP in terms of approximation ability, classification ability and learning speed. The network and its improved type can provide a reliable global optimal solution through simple linear optimization; most importantly, the application of radial basis function network in computer vision has shown that it has good cross-view simulation capabilities.

[0015] Suppose there are M lighting conditions i 1 ,i 2 ,..., i M Face image f of N persons ijk As a training image, each person has P images, where 1≤i≤M, 1≤j≤N, 1≤k≤P, and then the face images under the same lighting conditions are classified into the same group, which is set to F i , where F i ={f ijk ∣1≤j≤N, 1≤k≤P}, the...

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Abstract

The invention discloses a face recognition method under an illumination change condition. The method comprises steps as follows: step one, acquiring a neutral network through training; step two, acquiring virtual face images of each person under target illumination conditions; step three, acquiring a simulation image of each person under each target illumination condition, and establishing N neutral networks; step four, acquiring simulation face images of each person under all target illumination conditions; step five, establishing a face training library comprising real face images and simulation face images; step six, matching to-be-tested images with images in the training library under corresponding illumination conditions. According to the face recognition method under the illumination change condition, eigenface features of all persons under rest view angle conditions are simulated through training of a radial basis function network on a single image set, recognized view angle invariance is realized to a certain extent, and the good recognition effect can be realized.

Description

technical field [0001] The invention relates to a face recognition method under changing illumination conditions, and belongs to the technical field of face recognition. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. [0003] In the case of illumination changes, it is best to make the image to be recognized and the training image correspond to the same illumination conditions, so that the obtained recognition results have higher reliability. However, in practical applications, this condition is often not necessarily met, so it is considered to solve this problem by simulating face imag...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06N3/02G06V40/172G06F18/2155
Inventor 张会林孙利华
Owner SUZHOU FUFENG TECH
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