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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In this paper, we describe the properties of independent components of optical flow of moving objects. Video sequences of objects seen by an observer moving at various angles, directions and distances are used to produce optical flow maps. These maps are then processed using independent component analysis, which yields filters that resemble the receptive fields of dorsal medial superior temporal cells of the primate brain. Contraction, expansion, rotation and translation receptive fields have been identified. Our results support Barlow's sensory coding theory and are in-line with other work on independent components of image and video intensities.