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Depth From Distortions

Abstract : Traditionally, images distortions have been regarded as a flaw that needed to be corrected. Much effort has been focused on “undistortion” methods to remedy this shortcoming. However, we see distortions as encoding crucial information about scene structure. In this paper we describe how scene depth is encoded in the distortions of images acquired with non-single viewpoint cameras or by mosaic construction. We present our framework to exploit these distortions for 3D euclidean reconstruction of scene features from a single image or view. We present methods specifically designed for features such as straight lines, circles or conics and show how it applies to general planar curves as well. Rigorous experimentation using simulations and synthetic images from catadioptric sensors and mosaics are presented.
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https://hal.inria.fr/inria-00325383
Contributor : Peter Sturm <>
Submitted on : Monday, September 29, 2008 - 10:39:44 AM
Last modification on : Monday, December 28, 2020 - 10:22:04 AM
Long-term archiving on: : Thursday, June 3, 2010 - 10:06:48 PM

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Rahul Swaminathan, Ao Wu, Haoyuan Dong. Depth From Distortions. The 8th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras - OMNIVIS, Rahul Swaminathan and Vincenzo Caglioti and Antonis Argyros, Oct 2008, Marseille, France. ⟨inria-00325383⟩

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