Towards Automatic Interpolation for Real and Distant Image Pairs

Maxime Lhuillier 1
1 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 : Image-based rendering offers the advantage of being able to provide realistic output and at the same time to avoid the difficult problem of a complete geometric and photometric modeling of the real world. The method described here is able to deal with non rigid scenes and large camera motions. We present in this report a three step algorithm for the interpolation of two views of a scene, from which we can for instance simulated a camera motion withing the given scene. The first step establishes pixel correspondenc- es between the images and is the most difficult part. We justify the choice of region-growing based dense matching methods and we summarize their principle. Secondly, a robust algorithm converts these pixel correspondences to an adequate structure for the last step: image interpolation. This structure encompasses the transformation between the images using constrained and dependent triangulations in both of them, and handles the half-occluded areas. The implementation of the whole process is outlined and the process is demonstrated on real images.
Type de document :
Rapport
RR-3619, INRIA. 1999
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https://hal.inria.fr/inria-00073059
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 11:43:21
Dernière modification le : mardi 9 octobre 2018 - 09:44:16
Document(s) archivé(s) le : dimanche 4 avril 2010 - 23:33:03

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Maxime Lhuillier. Towards Automatic Interpolation for Real and Distant Image Pairs. RR-3619, INRIA. 1999. 〈inria-00073059〉

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