Paper
30 May 2000 Detection of facial features based on the relaxation algorithm
Author Affiliations +
Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386604
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
Abstract
This paper proposes a relaxation-based algorithm for detection of facial features such as face outline, eyes, and mouth. At first, a number of candidates for each facial feature are detected. To select a correct set of facial features from the candidates, probabilities and geometric relationships of each candidate location are considered, in which a relaxation algorithm is used for implementation. Simulation results with various test images are presented.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ho-Jin Lee, Dong-Gyu Sim, and Rae-Hong Park "Detection of facial features based on the relaxation algorithm", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386604
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Cited by 1 scholarly publication.
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KEYWORDS
Eye

Mouth

Detection and tracking algorithms

Eye models

Binary data

Facial recognition systems

Iris recognition

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