Title :
Human eyes location using wavelet and neural network
Author :
Wang, Yanjiang ; Yuan, Baozong
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
This paper presents a new method for the detection and localization of human eyes in a color image. First, the face-like regions are located using an evolutionary color clustering algorithm. Then, wavelet decomposition is applied to each region to detect the possible facial features. If the features are distributed like a predefined human face model, the eyes can be located; otherwise, a three-layer BP neural network is used to check if there is an eye in the region. Experimental results show that our method is fast and has a good performance
Keywords :
evolutionary computation; face recognition; feature extraction; image colour analysis; image segmentation; multilayer perceptrons; pattern clustering; wavelet transforms; color image; detection; evolutionary color clustering algorithm; face-like regions; facial features; human eyes location; localization; neural network; three-layer BP neural network; wavelet decomposition; Color; Evolutionary computation; Eyes; Face detection; Face recognition; Facial features; Humans; Image segmentation; Low pass filters; Neural networks;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891770
