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Robust detection of skin color is a difficult task since color information changes under different lighting conditions. Previous research indicated that human skin color is restricted to a small range of values in certain color coordinate systems. However, the ranges tend to shift with varying illumination according to our experiments. It is therefore unattainable to derive a universal standard for...
In this paper, an approach is proposed for the robust tracking of upper body movement in unconstrained environments by using a Haar-Disparity algorithm together with a novel 2D silhouette projection algorithm. Haar-Disparity improves on the traditional skin manifold tracking by relaxing constraints on clothing, background and illumination. The 2D silhouette projection algorithm provides three orthogonal...
A novel Gabor-based multi-scale illumination normalization (GMSIN) model is proposed and applied to face recognition. GMSIN uses Total variation under different norm constraints. It removes the lighting effect in two scale parts of image and fuses the multi-scaled illumination invariant features. Then a bank of Gabor filters is built to extract lighting invariant Gabor face representations. Finally...
The ubiquitous application of eye tracking is precluded by the requirement of dedicated and expensive hardware, such as infrared high definition cameras. Therefore, systems based solely on appearance (i.e. not involving active infrared illumination) are being proposed in literature. However, although these systems are able to successfully locate eyes, their accuracy is significantly lower than commercial...
A new algorithm for independent Gabor analysis of multiscale total variation-based quotient image is proposed and applied to face recognition with only one sample per subject here. With our preproposed multiscale TV-based quotient image (TVQI) model, the large-scale and small-scale features are firstly fused to produce the most expressive lighting invariant face. Then a bank of Gabor filters is built...
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