Robot vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color constancy for scenes with varying illumination
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
Manual of Photography: Photographic and Digital Imaging
Manual of Photography: Photographic and Digital Imaging
Comprehensive Colour Image Normalization
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A parallel algorithm for color constancy
Journal of Parallel and Distributed Computing
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Color Constancy
A biologically motivated double-opponency approach to illumination invariance
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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Color is not a physical quantity which can be measured. Yet we attach it to the objects around us. Colors appear to be approximately constant to a human observer. They are an important cue in everyday life. Today, it is known that the corpus callosum plays an important role in color perception. Area V4 contains cells which seem to respond to the reflectance of an object irrespective of the wavelength composition of the light reflected by the object. What is not known is how the brain arrives at a color constant or approximately color constant descriptor. A number of theories about color perception have been put forward. Most theories are phenomenological descriptions of color vision. However, what is needed in order to understand how the visual system works is a computational theory. With this contribution we describe a computational theory for color perception which is much simpler in comparison to previously published theories yet effective at computing a color constant descriptor.