Title :
Automatic face location for videophone images
Author :
Chai, Douglas ; Ngan, King N.
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Abstract :
This paper presents a novel technique to automatically locate the face of a person in a videophone image. The proposed technique makes use of the intensity values of both luminance and chrominance components of the image. It detects face location by exploiting the distribution property of these components. The usefulness of face location information is also presented
Keywords :
brightness; face recognition; video coding; videotelephony; automatic face location; chrominance components; distribution property; face location information; intensity values; luminance components; video coding; videophone images; Bit rate; Cameras; Chromium; Face detection; Head; Image edge detection; Image segmentation; Layout; Robustness; Video coding;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608734
