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Proceedings Paper

Face detection in the near-IR spectrum
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Paper Abstract

Face detection is an important prerequisite step for successful face recognition. Face detection methods reported in the literature are far from perfect and deteriorate ungracefully where lighting conditions cannot be controlled. We propose a method that could potentially outperform state-of-the-art face detection methods in environments with dynamic lighting conditions. The approach capitalizes upon our near-IR skin and face detection methods reported elsewhere. It ascertains the existence of a face within a skin region by finding the eyes and eyebrows. The eye-eyebrow pairs are determined by extracting appropriate features from multiple near-IR bands. In this paper we introduce a novel feature extraction method we call dynamic integral projection. The method is relatively simple but highly effective because the processing is constrained within the skin region and aided by the near-IR phenomenology.

Paper Details

Date Published: 10 October 2003
PDF: 12 pages
Proc. SPIE 5074, Infrared Technology and Applications XXIX, (10 October 2003); doi: 10.1117/12.498708
Show Author Affiliations
Jonathan B. Dowdall, Univ. of Houston (United States)
Ioannis Pavlidis, Univ. of Houston (United States)
George N. Bebis, Univ. of Nevada, Reno (United States)


Published in SPIE Proceedings Vol. 5074:
Infrared Technology and Applications XXIX
Bjorn F. Andresen; Gabor F. Fulop, Editor(s)

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