21 September 2001 Novel algorithm for automatic detection of faces and facial features in color images
Author Affiliations +
Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441470
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
In this paper, we presented an algorithm that implements the automatic detection of faces and facial features in color images. First, we use the chroma chart technique to determine the skin regions, then separate the touching regions apart using morphological operators; Second, we extract the candidate facial feature regions using morphological valley operators, for each skin region; Third, we match the candidate facial features with the model face we proposed to determine the optimal facial feature combination of eyes and mouth, thus we get the final description of the faces' geometric information. In this work, we improved the performance of the chroma chart, introduced morphological operators into the skin region analysis and facial feature detection, put forward our matching scheme that's fast and stable. The whole process is completely automatic, and is robust to lighting conditions, shading, tilt, multiple faces, etc.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanchao Xing, Yanchao Xing, Zheng Tan, Zheng Tan, Shuanhu Wu, Shuanhu Wu, } "Novel algorithm for automatic detection of faces and facial features in color images", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441470; https://doi.org/10.1117/12.441470
PROCEEDINGS
6 PAGES


SHARE
Back to Top