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Proceedings Paper

Face recognition in complex backgrounds
Author(s): Lifang Wu; XiuKun Yang
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Paper Abstract

Face recognition has higher performance with controlled illumination and pose. But in some applications such as video surveillance, imaging condition is uncontrolled and the subject is not cooperative. In this paper pose invariant face recognition in complex backgrounds is discussed and a framework is proposed. Our algorithm is comprised of four parts. In the first part a face location algorithm combining face feature and template is proposed to determine the face location, represented as center of eyes and mouth. In the second part a face segmentation algorithm using curve fitting is proposed to segment face region in the image. The third part is face normalization---to obtain a front view face from a face with variant pose. In the forth part, the face recognition based on normalized faces is implemented using eigenface method. The algorithm is tested using 70 images of 14 persons, the experimental results confirm the efficiency of our algorithms.

Paper Details

Date Published: 15 September 2004
PDF: 12 pages
Proc. SPIE 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III, (15 September 2004); doi: 10.1117/12.543638
Show Author Affiliations
Lifang Wu, Beijing Univ. of Technology (China)
XiuKun Yang, Beijing Univ. of Technology (China)


Published in SPIE Proceedings Vol. 5403:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III
Edward M. Carapezza, Editor(s)

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