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» Three-Dimensional Object Recognition: Statistical Approach
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TCSV
2008
291views more  TCSV 2008»
13 years 4 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
DAGM
2000
Springer
13 years 9 months ago
Structured Covariance Matrices for Statistical Image Object Recognition
Abstract. In this paper we present di erent approaches to structuring covariance matrices within statistical classi ers. This is motivated by the fact that the use of full covarian...
Jörg Dahmen, Daniel Keysers, Michael Pitz, He...
ECCV
1998
Springer
14 years 6 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona
ICPR
2000
IEEE
13 years 8 months ago
A Bayesian Approach to Object Identification in Pattern Recognition
We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical popula...
Gunter Ritter, María Teresa Gallegos
CGF
2010
144views more  CGF 2010»
13 years 5 months ago
Dynamic Multi-View Exploration of Shape Spaces
Statistical shape modeling is a widely used technique for the representation and analysis of the shapes and shape variations present in a population. A statistical shape model mod...
Stef Busking, Charl P. Botha, Frits H. Post