Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Self-Organizing Maps
Learning to see: genetic and environmental influences on visual development
Learning to see: genetic and environmental influences on visual development
Object recognition by artificial cortical maps
Neural Networks
ICA-based image analysis for robot vision
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Independent component analysis of layer optical flow and its application
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
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The human capability of recognizing objects visually is here held to be a function emerging as result of interactions between epigenetic influences and basic neural plasticity mechanisms. The model here proposed simulates the development of the main neural processes of the visual system giving rise to the higher function of recognizing objects. It is a hierarchy of artificial neural maps, mainly based on the LISSOM architecture, achieving self-organization through simulated intercortical lateral connections.