Symmetric feature extraction for pose neutralization

Abstract

This paper proposes a method to neutralize the pose of facial databases. Efficient use of the feature extractors and its properties leads to the pose neutralization. Feature extractors discussed here are few transforms like Discrete Cosine Transform (DCT) and Discrete Fourier Transform (DFT). Symmetric behavior of transforms is the basis of the proposed method. Modulo based approach in extracting the features was found to provide better results than the conventional techniques for pose neutralization. Experiments are conducted on various benchmark facial databases mainly pose variant FERET and FEI which show the promising performance of the proposed method in neutralizing pose.