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» Sparse appearance based modeling for robot localization
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ICRA
2003
IEEE
151views Robotics» more  ICRA 2003»
14 years 1 months ago
Image-based localization with depth-enhanced image map
— In this paper, we present an image-based robot incremental localization algorithm which uses a panoramic image-based map enhanced with depth from a laser range finder. The ima...
Dana Cobzas, Hong Zhang, Martin Jägersand
CVPR
2008
IEEE
14 years 10 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
CRV
2006
IEEE
114views Robotics» more  CRV 2006»
14 years 11 days ago
Single landmark based self-localization of mobile robots
In this paper we discuss landmark based absolute localization of tiny autonomous mobile robots in a known environment. Landmark features are naturally occurring as it is not allow...
Abdul Bais, Robert Sablatnig, Jason Gu
BMVC
2002
13 years 11 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
JMM2
2006
219views more  JMM2 2006»
13 years 8 months ago
Fully Automatic Real-Time 3D Object Tracking using Active Contour and Appearance Models
This paper presents an efficient, robust and fully automatic real-time system for 3D object pose tracking in image sequences. The developed application integrates two main componen...
Giorgio Panin, Alois Knoll