%0 Conference Proceedings
%4 sid.inpe.br/banon/2002/12.09.10.16
%2 sid.inpe.br/banon/2002/12.09.10.16.28
%@doi 10.1109/SIBGRAPI.2001.963076
%T Inferring shape evolution
%D 2001
%A Costa, Luciano da Fontoura,
%A Bianchi, Andrea G. Campos,
%E Borges, Leandro Díbio,
%E Wu, Shin-Ting,
%B Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)
%C Florianópolis, SC, Brazil
%8 15-18 Oct. 2001
%I IEEE Computer Society
%J Los Alamitos
%P 354-361
%S Proceedings
%1 SBC - Brazilian Computer Society
%K dynamic shapes, convolution, normal fields, estimation, growth processes, pattern formation.
%X 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. 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.
%@language en
%3 354-361.pdf
%O The conference was held in Florianópolis, SC, Brazil, from October 15 to 18.