Author:
Marc Ebner
Affiliation:
Ernst-Moritz-Arndt-Universität Greifswald, Germany
Keyword(s):
Color constancy, Color perception, Computational modeling, Object/scene motion.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
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Artificial Intelligence
;
Biomedical Engineering
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Biomedical Signal Processing
;
Computational Intelligence
;
Computer Vision, Visualization and Computer Graphics
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Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
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Neural Networks
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Neurocomputing
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Neurotechnology, Electronics and Informatics
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Pattern Recognition
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Physiological Computing Systems
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Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Light which is measured by retinal receptors varies with the illuminant. However, a human observer is able to discount the illuminant and to accurately determine the color of objects. The human brain computes a color constant descriptor which is approximately independent of the illuminant. This ability is called color constancy. Recently, it has been shown that color constancy improves for a moving stimulus. It has been argued that high level motion areas may have an influence on the computation of a color constant descriptor. We have developed a computational model for color perception which can be mapped to the different stages of the human visual system. We test our model with two types of stimuli: stationary and moving. In our model, color constancy is computed purely bottom up. Our model also shows better color constancy for a moving stimulus. This indicates that an influence from high level motion areas is not required.