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Image Interpolation by Joint View Triangulation

Maxime Lhuillier 1 Long Quan 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 : Creating novel views by interpolating prestored images or view morphing has many applications in visual simulation. We present in this paper a new method of automatically interpolating two images which tackles two most difficult problems of morphing due to the lack of depth information: pixel matching and visibility handling. We first describe a quasi-dense matching algorithm based on region growing with the best first strategy for match propagation. Then, we describe a robust construction of matched planar patches using local geometric constraints encoded by a homography. After that we introduce a novel representation?joint view triangulation?for visible and half-occluded patches in two images to handle their visibility during the creation of new view. Finally we demonstrate these techniques on real image pairs.
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Maxime Lhuillier, Long Quan. Image Interpolation by Joint View Triangulation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '99), Jun 1999, Fort Collins, United States. pp.139--145, ⟨10.1109/CVPR.1999.784621⟩. ⟨inria-00590118⟩



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