TY - GEN
T1 - Illumination compensation algorithm using eigenspaces transformation for facial images
AU - Yang, Junyeong
AU - Byun, Hyeran
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-540-71457-6_18
DO - 10.1007/978-3-540-71457-6_18
M3 - Conference contribution
AN - SCOPUS:37149026080
SN - 3540714561
SN - 9783540714569
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 192
EP - 199
BT - Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
PB - Springer Verlag
T2 - 3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques
Y2 - 28 March 2007 through 30 March 2007
ER -