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Proceedings Paper

Lip boundary detection techniques using color and depth information
Author(s): Gwang-Myung Kim; Sung Ho Yoon; Jung H. Kim; Gi Taek Hur
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Paper Abstract

This paper presents our approach to using a stereo camera to obtain 3-D image data to be used to improve existing lip boundary detection techniques. We show that depth information as provided by our approach can be used to significantly improve boundary detection systems. Our system detects the face and mouth area in the image by using color, geometric location, and additional depth information for the face. Initially, color and depth information can be used to localize the face. Then we can determine the lip region from the intensity information and the detected eye locations. The system has successfully been used to extract approximate lip regions using RGB color information of the mouth area. Merely using color information is not robust because the quality of the results may vary depending on light conditions, background, and the human race. To overcome this problem, we used a stereo camera to obtain 3-D facial images. 3-D data constructed from the depth information along with color information can provide more accurate lip boundary detection results as compared to color only based techniques.

Paper Details

Date Published: 4 January 2002
PDF: 7 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453026
Show Author Affiliations
Gwang-Myung Kim, North Carolina Agricultural and Technical State Univ. (United States)
Sung Ho Yoon, North Carolina Agricultural and Technical State Univ. (United States)
Jung H. Kim, North Carolina Agricultural and Technical State Univ. (United States)
Gi Taek Hur, Dongshin Univ. (South Korea)


Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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