Forms Structure Form at Ever “Higher” and “Lower” Levels
The central purpose of perception is to recognize and describe: From 2-dimensional sensed images, which 3-dimensional objects, moving about in the 4th dimension of time, are “out there?” Almost always form (shape, structure) almost certainly contains the most important information for identifying objects. Even small fragments of form are usually enough; but images with absolutely no shape information are almost always enigmas — until we structure them, much as we do Rorschach blobs, with our own internal forms.
KeywordsInput Layer Basic Module Subsequent Layer Computer Vision System Output Window
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- Honavar, V. and Uhr, L., 1989, Experimental results indicate that generation, local receptive fields and global convergence improve perceptual learning in connectionist networks, Proc. Int. Joint Conf. on Art. Intell.Google Scholar
- Tanimoto, S. L. and Klinger, A., (Eds.), 1980, “Structured Computer Vision: Machine Perception Through Hierarchical Computation Structures”, New York: Academic Press.Google Scholar
- Uhr, L., 1978, “Recognition cones” and some test results. in: “Computer Vision Systems”, A. Hanson and E. Riseman (Eds.), New York: Academic Press, 363–372.Google Scholar
- Uhr, L., 1987. Highly parallel, hierarchical, recognition cone perceptual structures, in: “Parallel Computer Vision”, L. Uhr (Ed.), New York: Academic Press, 249–292.Google Scholar
- Uhr, L., 1991, Cycling logarithmically converging nets that flow information to behave (perceive) and learn. in: “Neural Networks for Human and Machine Perception,” Harry Wechsler (Ed.).Google Scholar
- Uhr, L., Information-Transforming Structures (ITS): Body/Mind Models of Perception and Cognition, in preparation.Google Scholar