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.
https://hal.inria.fr/inria-00590118 Contributor : Perception teamConnect in order to contact the contributor Submitted on : Tuesday, May 3, 2011 - 9:23:45 AM Last modification on : Friday, February 4, 2022 - 3:29:54 AM Long-term archiving on: : Thursday, August 4, 2011 - 2:56:09 AM
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⟩