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A key problem for face recognition has been accurate identification under variable illumination conditions. Conventional video cameras sense reflected light so that image grayvalues are a product of both intrinsic skin reflectivity and external incident illumination, thus obfuscating the intrinsic reflectivity of skin. Thermal emission from skin, on the(More)
We present a new formalism for the treatment and understanding of multispectral images and multisensor imagery based on first-order contrast information. Although little attention has been paid to the utility of multispectral contrast, we develop a theory for multispectral contrast that enables us to produce an optimal grayscale visualization of the(More)
Detecting and tracking face regions in image sequences has applications to important problems such as face recognition, human-computer interaction, and video surveillance. Visible sensors have inherent limitations in solving this task, such as the need for sufficient and specific lighting conditions , as well as sensitivity to variations in skin color.(More)
Automatic video surveillance in uncontrolled outdoor settings is a very challenging computer vision task. Nearly infinite variability of the environmental factors and the open-ended goals of many surveillance problems conspire to create situations where even the most advanced detection , tracking and recognition algorithms falter. While the common academic(More)