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Conference papers

Joint View Triangulation for Two Views

Maxime Lhuillier 1
1 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 : We propose the Joint View Triangulation, which coherently models all visible and partially occluded patches within n views of a scene (rigid or not). It is built from an underlying dense matching and can be used for any application requiring discrete and ef cient representation of deformation and displacement between views. First robustness has to deal the unavoidable matching errors. Secondly matched and half occluded areas should be separated in each view to allow different processes on them. Finally, the elements of the structure which represent the matched area of each view pair should be in correspondence. This ensures a global coherence of the data and avoid redundant processes. In fact, we merely expect to an approximate but coherent structure, because of the nite precision of the images and bad matches. This paper deals only with the two view case but also applies the joint view triangulation to morphing between real image pairs with large camera displacement.
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  • HAL Id : inria-00590116, version 1




Maxime Lhuillier. Joint View Triangulation for Two Views. 12th Conference on Vision Interface (VI '99), May 1999, Trois Rivieres, Canada. ⟨inria-00590116⟩



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