Abstract
Research in databases of three-dimensional (3D) objects is a special area of research in our community. This paper is in this context and more generally in information retrieval by content. In this context, the authors are particularly interested in the indexing of 3D objects, which aims to characterize the shape of objects, to allow comparison between models. The 3D shape descriptor is presented and, based on the distribution of cords. To make the descriptor invariant to geometric transformations of space, a normalization step is applied to the object, as a preprocessing step. The work is, therefore, to develop a system for indexing and searching databases of 3D objects. The hidden Markov models are well suited to for this indexing system. Using these tools, a system for learning and recognizing of 3D objects is built.
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