Spatial Object Perception from an Image

Radu Horaud 1, 2
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : In this paper we address the problem of finding the spatial position and orientation of an object from a single image. It is assumed that the image formation process and an object model are known in advance. Sets of image lines are backprojected and constraints on their spatial interpretations are derived. A search space is then constructed where each node represents a space feature with a model assignment. Next, a hypothesize-and-test recognition strategy is used to select a solution, that is to determine six degrees of freedom of a part from a set of features. Finally we discuss the efficiency and the reliability of the method.
Type de document :
Communication dans un congrès
Aravind K. Joshi. Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI '85), Aug 1985, Los Angeles, United States. Morgan Kaufmann, 2, pp.1116--1119, 1985, 〈http://ijcai.org/Past%20Proceedings/IJCAI-85-VOL2/PDF/092.pdf〉
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Radu Horaud. Spatial Object Perception from an Image. Aravind K. Joshi. Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI '85), Aug 1985, Los Angeles, United States. Morgan Kaufmann, 2, pp.1116--1119, 1985, 〈http://ijcai.org/Past%20Proceedings/IJCAI-85-VOL2/PDF/092.pdf〉. 〈inria-00589981〉

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