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» Learning Shape Prior Models for Object Matching
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ICIP
2010
IEEE
13 years 6 months ago
Discarding moving objects in quasi-simultaneous stereovision
This paper proposes a statistical rejection rule, designed for small baseline stereo satellites. The method learns an a contrario model for image blocks and discards the casual ma...
Neus Sabater, Jean-Michel Morel, Andrés Alm...
AMR
2005
Springer
100views Multimedia» more  AMR 2005»
14 years 2 months ago
Using Segmented Objects in Ostensive Video Shot Retrieval
This paper presents a system for video shot retrieval in which shots are retrieved based on matching video objects using a combination of colour, shape and texture. Rather than mat...
Sorin Sav, Hyowon Lee, Alan F. Smeaton, Noel E. O'...
ICML
2009
IEEE
14 years 9 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
DAGM
2006
Springer
14 years 15 days ago
Cross-Articulation Learning for Robust Detection of Pedestrians
Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-cla...
Edgar Seemann, Bernt Schiele
IJON
2007
166views more  IJON 2007»
13 years 8 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi