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An efficient illumination normalization method in a transformed domain

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2 Author(s)
Lian Zhichao ; Computer Vision Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore ; Er Meng Joo

This paper proposes a novel illumination normalization approach with low computation complexity for face recognition. In this proposed method, a block-wise Walsh-Hadamard transform (WHT) is employed in the logarithm domain. An appropriate number of low-frequency WHT coefficients are zeroed to compensate for illumination variations. Experiments on different databases demonstrate that the proposed method obtains results comparable to those of conventional Discrete Cosine Transform method but with a higher efficiency. It also achieves better performances for cases with larger illumination variations. Furthermore, both analytical proof and experimental results demonstrate that principal component analysis (PCA) can be directly implemented in the WHT domain.

Published in:

Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on

Date of Conference:

7-10 Dec. 2010