ILLUMINATION INSENSITIVE FACE REPRESENTATION FOR FACE RECOGNITION BASED ON MODIFIED WEBERFACE
Min Yao, Hiroshi Nagahashi · International Journal of Advances in Engineering & Technology · 2013
Automatic face recognition under varying illumination is a challenging task. Numerous illumination insensitive face representation methods were developed to tackle the illumination problem. Weberface has been recently proposed and its robustness to varying illumination was approved both theoretically and experimentally. In this paper, we present two proposals which improve the conventional Weberface in specific ways and derive an oriented Weberface and largely-scaled Weberfaces. The oriented Weberface takes advantages of the detailed information along various directions within the neighbourhood of a pixel. It concatenates eight directional face images calculated according to the Weber’s law. The largely-scaled Weberfaces are created based on the fact that the “local ” operation in illumination insensitive feature extraction does not necessarily correspond to the “nearest ” neighborhood. It computes the facical features at larger scales than the conventional Weberface. These modifications are aimed at better face representations which are capable of suppressing the illumination influence while maintaining useful facial features. Through the experiments on three databases, we demonstrate large performance improvements (in terms of recognition rates) by the proposed methods, compared with the conventional Weberface. Our methods also yield better results than several state-of-the-art methods.