Illumination compensation algorithm using eigenspaces transformation for facial images

Authors:
Junyeong Yang;Hyeran Byun
Affiliations:
Dept. of Computer Science, Yonsei University, Seoul, Korea;Dept. of Computer Science, Yonsei University, Seoul, Korea
Venue:
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Year:
2007

Citing 9
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Abstract

This paper presents a new low-dimensional face representation using the proposed eigenspaces transformation. The proposed algorithm is based on face images which is acquired with c illumination conditions. We define face images as a non-illumination class and illumination classes from light source conditions and derive the linear transformation function in a low-dimensional eigenspace between a non-illumination class and illumination classes. The proposed illumination compensation algorithm is composed of two steps. In the optimal projection space which is obtained from the DirectLDA algorithm, we first select the illumination class for a given image and then we generate a nonilluminated image by using eigenspace transformation of the illuminated class. We provide experimental results to demonstrate the performance of the proposed algorithm with varying parameters of proposed algorithm.