IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision, Graphics, and Image Processing - Special issue on human and machine vission, part II
Image synthesis: theory and practice
Image synthesis: theory and practice
Computing optical flow in the primate visual system
Neural Computation
Learning the solution to the aperture problem for pattern motion with a Hebb rule
Advances in neural information processing systems 1
Interaction between transparency and structure from motion
Neural Computation
Measurement of Visual Motion
Data Fusion for Sensory Information Processing Systems
Data Fusion for Sensory Information Processing Systems
Energy Functions for Early Vision and Analog Networks
Energy Functions for Early Vision and Analog Networks
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
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The problem of processing visual motion is underconstrained---many possible real world motions are compatible with any given dynamic retinal image. Recent psychophysical and neurophysiological experiments have shown that the primate visual system's normally veridical interpretation of moving patterns is attained through utilization of image segmentation cues unrelated to motion per se. These findings challenge notions of modularity in which it is assumed that the processing of specific scene properties, such as motion, can be studied in isolation from other visual processes. We discuss the implications of these findings with regard to both experimental and computational approaches to the study of visual motion.