Abstract
When visual perception is modelized on computer, some geometrical formalisms are present at different levels of the approach. This paper deals more precisely with the choice of an adapted representation for image analysis shape understanding. In this context, we present several geometrical models for representation of images and shapes useful for their description and interpretation.
First we present geometrical models to split an image, then geometrical models for shape representation and shape description. The representation space, that is discrete space or euclidean space, is pointed out. These methods also depend on the implementation of data structures and algorithms. Finally we present the three-dimensional extensions of the two-dimensional models.
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© 1993 Springer-Verlag Berlin Heidelberg
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Chassery, JM., Montanvert, A. (1993). Geometrical representation of shapes and objects for visual perception. In: Laugier, C. (eds) Geometric Reasoning for Perception and Action. GRPA 1991. Lecture Notes in Computer Science, vol 708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57132-9_10
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DOI: https://doi.org/10.1007/3-540-57132-9_10
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