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We present a feature extraction and tracking method which is based on pure rich texture analysis and has robustness under irregular conditions, such as illumination change, deformation of objects and ...
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under challenging real situat...
Illumination variation is one of the bottlenecks of face recognition systems. In the past few years, many approaches to coping with illumination variations have been proposed which can be categorized...
Illumination variation poses a serious problem in video shot detection. It causes false cuts in many shot detection algorithms. A new illumination invariant measure metric is proposed in this paper. T...
Face recognition has attracted much attention in the past decades for its wide potential applications. Much progress has been made in the past few years. However, specialized evaluation of the state-...
Illumination Normalization for Robust Face Recognition against Varying Lighting Conditions.

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