Towards a transformational approach to perceptual organization
Date
2000
Authors
Vickers, D.
Navarro, D.
Lee, M.
Editors
Howlett, R.
Jain, L.
Jain, L.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies. KES 2000 / Howlett, R.J. and Jain, L.C. (eds.); volume 2: pp.325-328
Statement of Responsibility
Douglas Vickers, Daniel J. Navarro and Michael D. Lee
Conference Name
International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (4th : 2000 : Brighton, United Kingdom)
Abstract
A transformational approach to visual perception is presented, in which image structure is encoded in the parameters of those transformations that produce an output maximally symmetric with the current input. Results are presented for a computer program, dubbed SMART (Symmetry Maximizing Array using Random Transformations). SMART consists of a parallel array of independent symmetry detectors. Each detector attempts to find a transformation that maximizes the symmetry between the original and the transformed configuration. The weighted output of the detectors is collated in a connection matrix, which summarizes the image structure and provides a continuously-varying measure of relative symmetry. The program is applied to constrained and random arrays, Glass (1969) figures and the detection of hidden symmetric targets. More general implications are briefly discussed.
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Dissertation Note
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Copyright ©2000 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.