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» Objective Functions for Feature Discrimination
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ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
15 years 10 months ago
Evidential modeling for pose estimation
Pose estimation involves reconstructing the configuration of a moving body from images sequences. In this paper we present a general framework for pose estimation of unknown obje...
Fabio Cuzzolin, Ruggero Frezza
ICIP
1998
IEEE
16 years 6 months ago
Multi-Image Matching for a General Motion Stereo Camera Model
Motion stereo is to extract the 3-0 information of an object from images of a moving camera, using geometric relationships between corresponding points. This paper presents an acc...
Ja Seong Ku, Kyoung Mu Lee, Sang Uk Lee
ICTAI
2006
IEEE
15 years 10 months ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
14 years 8 months ago
Hierarchical CRF with product label spaces for parts-based models
— Non-rigid object detection is a challenging open research problem in computer vision. It is a critical part in many applications such as image search, surveillance, humancomput...
Gemma Roig, Xavier Boix Bosch, Fernando De la Torr...
ECCV
2010
Springer
13 years 11 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer