植基於差異演化之類神經網路於臉部辨識應用

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植基於差異演化之類神經網路於臉部辨識應用

Face Recognition Using Neural Networks Based on Differential Evolution

朱振祥 , Masters　　Advisor：林正堅;王德譽　　

英文

人臉辨識；賈伯小波；主成份分析；差異演化法；多層類神經網路； Face Recognition ； Gabor Wavelets ； Principal Component Analysis ； Differential Evolution ； Multilayer Neural Networks

Abstract │ Reference (29) │ Times Cited (1) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

Face recognition is a widely in many applications. Most of the approaches to face recognition have focused on the use of two dimensional images. We present an innovative method that combines two-dimensional texture and three-dimensional (3D) images surface feature vectors. Next, we use Gabor wavelets extracting local features at different scales and orientations by two-dimensional facial images. Next, we combine the texture with the three-dimensional (3D) images surface feature vectors based on principal component analysis (PCA) to obtain feature vectors from gray and facial surface images. We also propose a differential evolution (DE) algorithm for face recognition based on multilayer neural networks as an identification model. In ours experimental results demonstrate for the recognition different face poses and facial expressions method was efficiency. In addition, our work compared with different number of facial images feature vector and hidden nodes the experimental results demonstrated that the proposed differential evolution algorithm have a stable recognition rate. The texture and shape features can improve the efficiency of face recognition.

Reference ( 29 ) 〈TOP〉

[1] Wayo Puyati and Aranya Walairacht, “Efficiency Improvement for Unconstrained Face Recognition by Weightening Probability Values of Modular PCA and Wavelet PCA,” ICACT 2008. 10th International Conference on, Volume 2, pp. 1449 - 1453.
連結：
[2] Te-Hsiu Sun, Ming-chih Chen, Shu-chuan Lo, Fang-Chih Tien, “Face recognition using 2D and disparity eigenface,” Expert Systems with Applications, 2007, Volume 33, Issue 2, pp. 265-273.
連結：
[3] Bing Luo, Yu-Jie Hao, Wei-Hua Zhang, Zhi-Shen Liu, “Comparison Of PCA And ICA In Face Recognition,” Apperceiving Computing and Intelligence Analysis, ICACIA 2008, pp. 241- 243.
連結：
[5] Y. He, L. Zhaoa, and C. Zoua, “Face recognition using common faces method,” Pattern recognition, 2006, Vol. 39, Issue 11, pp. 2218-2222.
連結：
[6] Jian Yang, David Zhang, and Jing-Yu Yang, “Constructing PCA Baseline Algorithms to Reevaluate ICA-Based Face-Recognition Performance,” IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, PART B: CYBERNETICS, 2007, VOL. 37, pp. 1015 - 1021.
連結：

Times Cited (1) 〈TOP〉

黃怡華(2016)。應用餘弦正規化與類神經網路於三維人臉辨識之研究。逢甲大學土地管理學系學位論文。2016。1-79。

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