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» Multi-Aspect Detection of Articulated Objects
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CVPR
2010
IEEE
14 years 3 months ago
The chains model for detecting parts by their context
Detecting an object part relies on two sources of information - the appearance of the part itself, and the context supplied by surrounding parts. In this paper we consider problem...
Leonid Karlinsky, Michael Dinerstein, Daniel Harar...
IJCV
2008
223views more  IJCV 2008»
13 years 7 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
ECCV
2008
Springer
14 years 9 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
3DPVT
2006
IEEE
147views Visualization» more  3DPVT 2006»
14 years 1 months ago
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions
Detection of articulated objects such as humans is an important task in computer vision. We present a system that incorporates a variety of constraints in a unified multiview fra...
Abhinav Gupta, Anurag Mittal, Larry S. Davis
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
12 years 10 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...