Title :
The face localization and regional features extraction
Author :
Li, Chun-Ming ; Li, Yu-Shan ; Qing-De Zhuang ; Xiao, Zhong-Zhe
Author_Institution :
Inst. of Electron. CAD, Xidian Univ., Xi´´an, China
Abstract :
A double threshold Sobel operator to detect the edge of the face image and a square projection algorithm to locate the face in the edge image is presented in the paper. A technique extracting regional features is studied while a method based on geometric features is adopted to differ southern and northern faces. The experimental results show that the double threshold Sobel operator can present a clear contour of the edge image, lose little information and have a good immunity of interference. Furthermore, the square projection algorithm can offer an accurate face location, which is robust to the effect of face expression and partial occlusion. The probability that the southern and northern faces are correctly distinguished greatly increases when using the face feature extraction method described in this paper.
Keywords :
edge detection; face recognition; feature extraction; double threshold Sobel operator; edge detection; face feature extraction method; face localization; geometric feature; regional features extraction; square projection algorithm; Face detection; Face recognition; Feature extraction; Humans; Image databases; Image edge detection; Paper technology; Projection algorithms; Robustness; Spatial databases;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380504