An efficient algorithm for facial features extractions is proposed. The facial features we extracted are the edges of two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector to detect the face region and facial features regions. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effect if the person wearing glassed, and so on.
A Novel Facial Features Extraction Algorithm Using Gabor Wavelets
2008 Congress on Image and Signal Processing ; 2 ; 649-653
2008-05-01
449576 byte
Conference paper
Electronic Resource
English
Stereo Vision using Gabor Wavelets
British Library Conference Proceedings | 1994
|British Library Conference Proceedings | 2005
|Sparse Edge Coding using Overcomplete Gabor Wavelets
British Library Conference Proceedings | 2005
|Sparse edge coding using overcomplete Gabor wavelets
IEEE | 2005
|