15th European Conference on Artificial Intelligence
  July 21-26 2002     Lyon     France  
   

ECAI-2002 Conference Paper

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Shape Analysis and Classification using Landmarks: Polygonal Wavelet Transform

Roberto Marcondes Cesar Jr, Celina Maki Takemura

Shape analysis has played a central role in many problems in vision and perception, being an active multidisciplinary research field. In this context, this paper introduces a new shape analysis approach using the well known wavelet transform and exploring shape representation by landmarks. This work shows how to obtain a time signal from the landmarks representation, which undergoes the wavelet transform, as well as a useful geometrical interpretation using two special mother wavelets, i.e. the first and the second derivatives of the Gaussian. Successful experimental results obtained from real data are also discussed.

Keywords: Vision

Citation: Roberto Marcondes Cesar Jr, Celina Maki Takemura: Shape Analysis and Classification using Landmarks: Polygonal Wavelet Transform. In F. van Harmelen (ed.): ECAI2002, Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2002, pp.726-730.


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ECAI-2002 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the UniversitÚ Claude Bernard and INSA, Lyon, on behalf of Association Franšaise pour l'Intelligence Artificielle.