NDLI: Multiperspective stereo matching and volumetric reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Yuanyuan Ding Jingyi Yu Sturm, P.
Copyright Year	2009
Description	Author affiliation: Department of Computer and Information Sciences, University of Delaware, Newark, 19716, USA (Yuanyuan Ding; Jingyi Yu) \|\| Perception Laboratory, INRIA Grenoble - Rhône-Alpes, Montbonnot 38334, France (Sturm, P.)
Abstract	Stereo matching and volumetric reconstruction are the most explored 3D scene recovery techniques in computer vision. Many existing approaches assume perspective input images and use the epipolar constraint to reduce the search space and improve the accuracy. In this paper we present a novel framework that uses multi-perspective cameras for stereo matching and volumetric reconstruction. Our approach first decomposes a multi-perspective camera into piecewise primitive General Linear Cameras or GLCs [32]. A pair of GLCs in general do not satisfy the epipolar constraint. However, they still form a nearly stereo pair. We develop a new Graph-Cut-based algorithm to account for the slight vertical parallax using the GLC ray geometry. We show that the recovered pseudo disparity map conveys important depth cues analogous to perspective stereo matching. To more accurately reconstruct a 3D scene, we develop a new multi-perspective volumetric reconstruction method. We discretize the scene into voxels and apply the GLC back-projections to map the voxel onto each input multi-perspective camera. Finally, we apply the graph-cut algorithm to optimize the 3D embedded voxel graph. We demonstrate our algorithms on both synthetic and real multi-perspective cameras. Experimental results show that our methods are robust and reliable.
Starting Page	1827
Ending Page	1834
File Size	389151
Page Count	8
File Format	PDF
ISBN	9781424444205
ISSN	15505499
DOI	10.1109/ICCV.2009.5459406
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-29
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Stereo vision Image reconstruction Layout Stereo image processing Geometry Computer vision Reconstruction algorithms Laboratories Noise robustness
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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