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Spatial Object Perception from an Image

Radu Horaud 1, 2
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, 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.
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Submitted on : Tuesday, May 3, 2011 - 12:12:02 PM
Last modification on : Tuesday, July 27, 2021 - 11:20:10 AM
Long-term archiving on: : Thursday, August 4, 2011 - 2:32:50 AM

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Radu Horaud. Spatial Object Perception from an Image. Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI '85), Aug 1985, Los Angeles, United States. pp.1116--1119. ⟨inria-00589981⟩

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