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A spectral analysis of perceptual shape variation

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2 Author(s)
Hughes, A. ; Dept. of Comput. Sci., York Univ., UK ; Wilson, R.C.

Many methods of statistical shape description operate by describing shapes in terms of the variations inherent in a training set. This represents a limitation in that a training set must be assembled beforehand, and that only shapes lying within the span of the training data can be succinctly described. We develop a statistical representation that describes a shape in terms of the variations inherent in that shape, without reference to training images. Our new representation is then used to characterise a number of perceptual deformations, with the intent being to investigate how well such deformations can be captured and modelled by our description.

Published in:

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Date of Conference:

17-19 Sept. 2003

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