Title :
Automatic face segmentation for 3-D model-based video coding
Author :
Sheng, Y. ; Sadka, A.H. ; Kondoz, A.M.
Author_Institution :
Surrey Univ., Guildford, UK
Abstract :
In achieving a completely automatic 3-D model-based video coding system, face segmentation plays a crucial role. The aim of this paper is to present a fast and automatic face segmentation algorithm. The face is first segmented using skin colour information. Moreover, the feasibility of the criterion of only using one chrominance plane, Cr, to segment skin is demonstrated. Finally, the hair can be removed from the segmented face region by calculating the standard deviation of statistic units. The statistic units are a set of 4 by 4 blocks containing standard deviation values of the corresponding luminance blocks.
Keywords :
brightness; face recognition; image colour analysis; image segmentation; video coding; 3D model-based video coding; chrominance plane; face region; face segmentation; luminance blocks; skin colour information; standard deviation; statistic units;
Conference_Titel :
Visual Information Engineering, 2003. VIE 2003. International Conference on
Print_ISBN :
0-85296-757-8
DOI :
10.1049/cp:20030540