论文信息 - Two color based face detection algorithms: a comparative approach

Two color based face detection algorithms: a comparative approach

In this communication, two color-based methods for detecting faces in various scenes are compared and improved in terms of detection speed and/or accuracy. The first method according to Y. Raja et al. (1998) consists in automatically calculating a face color model by using the Expectation Maximization (EM) algorithm in the Hue Saturation (HS) subspace. Pixels with the color of the face are used by the EM algorithm to find the location of the face(s). The second method consists in using the histogram backprojection method for calculating the face color probability for every pixel in the image according to J.B. Martinkauppi and M.N. Soriano (2001), J.B. Martinkauppi et al. (2001) and M.N. Soriano et al. (2000), the location of the face(s) being then determined from this information.

[1] Shaogang Gong,et al. Segmentation and Tracking Using Color Mixture Models , 1998, ACCV.

[2] Ioannis Pitas,et al. Face localization and facial feature extraction based on shape and color information , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[3] J. Birgitta Martinkauppi,et al. Behavior of skin color under varying illumination seen by different cameras at different color spaces , 2001, IS&T/SPIE Electronic Imaging.

[4] Shaogang Gong,et al. Colour Model Selection and Adaption in Dynamic Scenes , 1998, ECCV.

[5] Ioannis Pitas,et al. Segmentation and tracking of faces in color images , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[6] Karin Sobottka Ioannis Pitas. Localization Of Facial Regions And Features In Color Images , 1996 .

[7] Ioannis Pitas,et al. A novel method for automatic face segmentation, facial feature extraction and tracking , 1998, Signal Process. Image Commun..

[8] Bernhard Fröba,et al. Real-Time Face Detection Using Edge-Orientation Matching , 2001, AVBPA.