Journal Article10.1016/S0167-8655(02)00224-6
Inferring shape evolution
L. Da Fountoura,A.G. Campos Bianchi +1 more
- 15 Oct 2001
- Vol. 24, Iss: 7, pp 354-361
TL;DR: A model-based mathematic-computational approach for inferring the processes governing some of the most representative types of shape evolution, with special attention given to biological shapes, is presented.
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Abstract: Dynamic shapes, namely shapes that change with time, represent an important issue in several scientific and technological contexts. The current article presents a model-based mathematic-computational approach for inferring the processes governing some of the most representative types of shape evolution, with special attention given to biological shapes. The considered models include functional mappings, convolution-based evolution and normal wavefront propagation. The methods are illustrated with respect to stationary (global) and non-stationary (local) dynamic evolutions, and the obtained results substantiate the potential of the presented methodology. Although concentrating on 2D shapes, the reported results can be extended to higher dimensional objects.
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