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» On Matrix Representations of Participation Constraints
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SMILE
1998
Springer
13 years 10 months ago
Tensor Embedding of the Fundamental Matrix
We revisit the bilinear matching constraint between two perspective views of a 3D scene. Our objective is to represent the constraint in the same manner and form as the trilinear ...
Shai Avidan, Amnon Shashua
JMLR
2006
104views more  JMLR 2006»
13 years 5 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 7 months ago
Non-negative matrix factorisation for object class discovery and image auto-annotation
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
Jiayu Tang, Paul H. Lewis
ECCV
2002
Springer
14 years 7 months ago
Properties of the Catadioptric Fundamental Matrix
The geometry of two uncalibrated views obtained with a parabolic catadioptric device is the subject of this paper. We introduce the notion of circle space, a natural representation...
Christopher Geyer, Konstantinos Daniilidis
MVA
2007
154views Computer Vision» more  MVA 2007»
13 years 7 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui