Image and Vision Computing
Visual perception in design and robotics
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
Attention in Early Vision: Some Psychophysical Insights
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Early vision and image processing: evidences favouring a dynamic receptive field model
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Scaling properties of mach bands and perceptual models
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
A multiple sub-regions design of non-classical receptive field
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
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The low-level brightness–contrast illusions constitute a special class within visual illusions. Speculations exist that these illusions may be processed through the filtering action of the retinal ganglion cells without necessitating much intervention from higher order processes of visual perception. Concept of the classical receptive field of the ganglion cell, derived from early physiological studies, prompted the idea that a Difference of Gaussian (DoG) model might explain the low-level illusions. In spite of its many successes, the DoG model fails to explain some of these illusions. It has been shown in this paper that it is possible to simulate those illusions with a model that takes into cognizance the role of the extended classical receptive field