Abstract
In this paper, we propose a general methodology for face-color modeling and segmentation. One of the major difficulties in face detection and retrieval is partial face extraction due to highlights, shadows and lighting variations. We show that a mixture-of-Gaussians modeling of the color space, provides a robust representation that can accommodate large color variations, as well as highlights and shadows. Our method enables to segment within-face regions, and associate semantic meaning to them, and provides statistical analysis and evaluation of the dominant variability within a given archive.
Original language | English |
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Pages (from-to) | 1525-1536 |
Number of pages | 12 |
Journal | Pattern Recognition Letters |
Volume | 22 |
Issue number | 14 |
DOIs | |
State | Published - Dec 2001 |
Keywords
- Face segmentation
- Face-color modeling
- Gaussian mixture
- Skin color modeling