Image Interpolation by Joint View Triangulation

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: Conference
• Year: 1999
• Where: CVPR
• Authors: Maxime Lhuillier, Long Quan
• Keywords: Computer Vision, CVPR 1999, Local Geometric Constraints, Planar Patches, Quasi-dense Matching Algorithm, Real Image Pairs, View Morphing