Presentation 2008-03-10
Plane-Sweep Algorithm : Various Tools for Computer Vision
Vincent Nozick, Sorbier Francois de, Hideo Saito,
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Abstract(in English) Recent research on computer vision has made significant progress in 3d reconstruction and free-viewpoint video however most of these methods are not suited for real-time rendering. This paper presents a Video-Based Rendering method that provides online new viewpoints of the scene from a set of webcams. Our method follows a plane-sweep approach perfectly suited for GPU implementation. This paper mainly focuses on different implementations of this method for different purposes. Indeed, our basic plane-sweep technique uses 4 input cameras to create online new views. However this method can be modified to be used with up to 10 cameras or more by a camera selection process. This method can also be adapted to handle moving input cameras using a real-time camera calibration technique. Moreover, this method can easily render a depth map instead of a new view. Finally, we explain how the plane-sweep algorithm can be modified to create multiple new views simultaneously. This latter application is mainly designed for autostereoscopic displays application. Implementation and performance are detailed for all these plane-sweep methods.
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Keyword(in English) Video-based rendering / GPU / real-time rendering / on-line rendering
Paper # IE2007-275,PRMU2007-259
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Committee IE
Conference Date 2008/3/3(1days)
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Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Plane-Sweep Algorithm : Various Tools for Computer Vision
Sub Title (in English)
Keyword(1) Video-based rendering
Keyword(2) GPU
Keyword(3) real-time rendering
Keyword(4) on-line rendering
1st Author's Name Vincent Nozick
1st Author's Affiliation Graduate School of Science and Technology, Keio University()
2nd Author's Name Sorbier Francois de
2nd Author's Affiliation Universite Paris-Est
3rd Author's Name Hideo Saito
3rd Author's Affiliation Graduate School of Science and Technology, Keio University
Date 2008-03-10
Paper # IE2007-275,PRMU2007-259
Volume (vol) vol.107
Number (no) 538
Page pp.pp.-
#Pages 8
Date of Issue