A novel face coding scheme based on gabor wavelet networks and genetic algorithm

被引：0

作者：

Chen, Bin ^{[1
]}

Liu, Zhi-Qiang ^{[2
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai 20050, Peoples R China

[2] City Univ Hong Kong, Sch Creat Media, Hong Kong, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年

关键词：

face coding; gabor wavelet networks; genetic; algorithm; LM method; optimization;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper we present a face coding scheme based on Gabor Wavelet Networks (GWNs) and Genetic Algorithm (GA). Because GWNs is insensitive to variations in illumination and geometric deformation. encodes textural and geometrical information simultaneously, it is quite suitable for face coding. Gabor wavelets are found through optimization. The traditional optimization method - Levenberg Marquardt (LM) may get stuck in local minima and must select the initial parameters carefully. We use a genetic algorithm for determining the parameters for GWNs instead of LM method to make the solution stable. The experiments have demonstrated that our scheme is more effective in face coding and reconstruction.

引用

页码：1489 / +

页数：2

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