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» Probabilistic Object Tracking Using Multiple Features
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DICTA
2008
13 years 10 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
CVPR
2008
IEEE
14 years 11 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
HLK
2003
IEEE
14 years 2 months ago
Reconstruction of Objects with Jagged Edges through Rao-Blackwellized Fitting of Piecewise Smooth Subdivision Curves
In some applications objects are known to have nonsmooth or “jagged” edges, which are not well approximated by smooth curves. We use subdivision curves as a simple but flexib...
Michael Kaess, Frank Dellaert
CVPR
2006
IEEE
14 years 11 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Interactions and Integrations of Multiple Sensory Channels in Human Brain
Here I describe a couple of new principles with regard to interactions and integrations of multiple sensory channels in the human brain. First, as opposed to the general belief th...
Shinya Nishida