A novel illumination normalization method based on local relation map
Er, Meng Joo
Date of Issue2011
IEEE Conference on Industrial Electronics and Applications (7th : 2012 : Singapore)
School of Electrical and Electronic Engineering
This paper presents a novel illumination normalization method to address the issue of illumination invariant face recognition. The proposed method applies a Difference of Gaussians (DoG) filter in the logarithm domain of the images to reduce the effects caused by the shadows. After that, a local relation map (LRM) is extracted as illumination invariant features for further recognition task. The proposed method outperforms the existing normalization approaches significantly based on the experimental results in the Yale B and Extended Yale B database. Moreover, the proposed method does not involve any prior information or modeling step and takes a low computational loan. Therefore it can be easily implemented in a real-time face recognition system.
DRNTU::Engineering::Electrical and electronic engineering