Abstract
A fundamental goal of visual science is to explain how an unambiguous global visual representation is synthesized in response to ambiguous local visual cues. The vast data base of visual perception has demonstrated strong interactions between the perceived depths, lightnesses, and forms of a scene (Beck, 1972; Harris, 1980; Kaufman, 1974), interactions that many artists have used to their advantage, tacitly or explicitly. These interactions amply demonstrate the context sensitivity and coherence of visual properties. In contrast to this coherence within the data, visual theory can be broken up into a multiplicity of specialized visual models. The results reviewed herein suggest one reason for this dichotomy between data and theory. One way of putting the issue is as follows: Whereas many theoretical approaches have used known mathematics and technology to understand visual processes, we have found that visual processes can suggest new mathematics and technology capable of better integrating the visual data landscape.
Supported in part by the Air Force Office of Scientific Research (AFOSR 82-0148), the National Science Foundation (NSF-IST-80-00257), and the Office of Naval Research (ONR-N00014-83-K0337)
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Grossberg, S. (1983). Neural Substrates of Binocular Form Perception: Filtering, Matching, Diffusion, and Resonance. In: Başar, E., Flohr, H., Haken, H., Mandell, A.J. (eds) Synergetics of the Brain. Springer Series in Synergetics, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69421-9_22
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