Image Interpolation by Joint View Triangulation

Maxime Lhuillier 1 Long Quan 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 : 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.
Type de document :
Communication dans un congrès
IEEE Conference on Computer Vision and Pattern Recognition (CVPR '99), Jun 1999, Fort Collins, United States. IEEE Computer Society, 2, pp.139--145, 1999, 〈10.1109/CVPR.1999.784621〉
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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. IEEE Computer Society, 2, pp.139--145, 1999, 〈10.1109/CVPR.1999.784621〉. 〈inria-00590118〉

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