Relief Mosaic by Joint View Triangulation

Maxime Lhuillier 1 Long Quan 2 Harry Shum 3 Hung-Tat Tsui 4
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
2 CSE - Department of Computer Science and Engineering [HKUST]
3 Microsoft Research Asia
4 Department of Electronic Engineering [Hong Kong]
Abstract : Relief mosaics are collections of registered images that extend traditional mosaics by supporting motion parallax. A simple parallax interpolation algorithm based on computed correspondence information allows high quality blurfree and ghost-free mosaics to be created using images from moving hand-held cameras that would not be suitable for traditional mosaicing. The renderer can also display local parallax changes, giving a local but visually convincing illusion of depth. Moreover, relief mosaics can be used for approximate plenoptic modeling from hand-held cameras at lower spatial sampling rates than existing light-field methods. We present a fully automatic correspondence based construction system for relief mosaics, and show how they can be used in applications.
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Maxime Lhuillier, Long Quan, Harry Shum, Hung-Tat Tsui. Relief Mosaic by Joint View Triangulation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR '01), Dec 2001, Kauai, United States. pp.785--790, ⟨10.1109/CVPR.2001.990557⟩. ⟨inria-00590149⟩

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