Face Detection Using Gabor Wavelet and SVM
A face detection approach based on Gabor wavelet and support vector machine is proposed. Firstly, the Gabor wavelet features of human face and non-human face samples set are extracted and the training samples set are constructed. Then, support vector machine are trained and the optimal classification decision function is calculated. The comparative experiment results show that the method has the characteristics such as simplification, lower calculation complexity, high efficiency, better detection and allocation accuracy for facial and vertical human face image.
gabor wavelet support vector machine face detection pattern recognition
Zhang Guo-yun Guo Long-yuan Wu Jian-hui Li Hong-min Guo Guan-qi
College of Information & Communication Engineering Hunan Institute of Science & Technology Yueyang, China, 414006
国际会议
太原
英文
588-590
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）