Presentation 2005-09-22
Towards recovering the 3-D shape from perspective images and/or spherical camera images
Jun FUJIKI,
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Abstract(in English) Recovering the camera motion and the object shape from the sequence of images is the fundamental and important problem in computer vision. Especially, the geometry among multiple views is quite important to understand the theoretical view of computer vision. On the other hand, computer vision under omnidirectional views, which applicable to suveyrance and/or robot navigation system, is in the spotlight recently and the geometry among multiple omnidirectional views is getting significant. In this paper, we highlight the spherical camera, which is one of the omnidirectional camera, and giving new aspects of the geomety among perspective images through the spherical images.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) epipolar geometry / perspective projection / omnidiretional camera / spherical fish-eye camera / catadioptric camera / essential matrix / rectification
Paper # NLC2005-42,PRMU2005-69
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Conference Information
Committee PRMU
Conference Date 2005/9/15(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Towards recovering the 3-D shape from perspective images and/or spherical camera images
Sub Title (in English)
Keyword(1) epipolar geometry
Keyword(2) perspective projection
Keyword(3) omnidiretional camera
Keyword(4) spherical fish-eye camera
Keyword(5) catadioptric camera
Keyword(6) essential matrix
Keyword(7) rectification
1st Author's Name Jun FUJIKI
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology()
Date 2005-09-22
Paper # NLC2005-42,PRMU2005-69
Volume (vol) vol.105
Number (no) 302
Page pp.pp.-
#Pages 6
Date of Issue