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» On Projection Matrices and their Applications in Computer Vi...
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CVPR
1999
IEEE
13 years 11 months ago
Shape Reconstruction in Projective Grid Space from Large Number of Images
This paper proposes a new scheme for multi-image projective reconstruction based on a projective grid space. The projective grid space is defined by two basis views and the fundam...
Hideo Saito, Takeo Kanade
MM
2005
ACM
215views Multimedia» more  MM 2005»
14 years 1 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
ICPR
2006
IEEE
14 years 8 months ago
Adaptative Markov Random Fields for Omnidirectional Vision
Images obtained with catadioptric sensors contain significant deformations which prevent the direct use of classical image treatments. Thus, Markov Random Fields (MRF) whose usefu...
Cédric Demonceaux, Pascal Vasseur
ACCV
2010
Springer
13 years 2 months ago
Linear Solvability in the Viewing Graph
The Viewing Graph [1] represents several views linked by the corresponding fundamental matrices, estimated pairwise. Given a Viewing Graph, the tuples of consistent camera matrices...
Alessandro Rudi, Matia Pizzoli, Fiora Pirri
ECCV
2008
Springer
14 years 9 months ago
General Imaging Geometry for Central Catadioptric Cameras
Catadioptric cameras are a popular type of omnidirectional imaging system. Their imaging and multi-view geometry has been extensively studied; epipolar geometry for instance, is ge...
João P. Barreto, Peter Sturm