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Vision / Light field / Optics / Correspondence problem / Photo-consistency / 3D modeling / Marr Prize / Caltech 101 / Computer vision / Imaging / Stereoscopy


A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms Steven M. Seitz Brian Curless University of Washington
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Document Date: 2008-12-12 10:34:14


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File Size: 1,74 MB

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City

Paris / /

Company

Furukawa / Microsoft / /

Facility

Temple Ring / /

IndustryTerm

typical multi-view stereo reconstruction algorithms / reconstruction algorithms / stereo evaluation web page / energy function / multi-view stereo reconstruction algorithms / multi-view stereo algorithms / result using energy minimization / Image-space algorithms / stereo algorithms / stereo correspondence algorithms / space carving algorithm / Early algorithms / dot product / published algorithms / line search / level-set algorithms / particular algorithm / reconstruction algorithm / multiview stereo reconstruction algorithms / voxel coloring algorithm / multi-view algorithms / /

Organization

University of Washington / Center for Signal and Image Processing / Stanford University / U.S. Securities and Exchange Commission / /

Person

Daniel Scharstein Richard Szeliski / Steven M. Seitz Brian / Dino Ring / /

Position

editor / /

Technology

laser / multi-view stereo algorithms / dense two-frame stereo correspondence algorithms / multi-view algorithms / space carving algorithm / particular algorithm / level-set algorithms / 3-D / reconstruction algorithms / Reconstruction algorithm Multi-view stereo algorithms / six multi-view stereo reconstruction algorithms / multiview stereo reconstruction algorithms / typical multi-view stereo reconstruction algorithms / voxel coloring algorithm / Image-space algorithms / reconstruction algorithm / Image Processing / multi-view stereo reconstruction algorithms / stereo algorithms / /

URL

http /

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