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108
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VISAPP
2007
15 years 1 months ago
Extraction of multi-modal object representations in a robot vision system
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the...
Nicolas Pugeault, Emre Baseski, Dirk Kraft, Floren...
113
Voted
ECCV
2004
Springer
16 years 2 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
3DIM
2003
IEEE
15 years 5 months ago
Stable Real-Time Interaction Between Virtual Humans And Real Scenes
We present an Augmented Reality system that relies on purely passive techniques to solve the real-time registration problem. It can run on a portable PC and does not require engin...
Luca Vacchetti, Vincent Lepetit, George Papagianna...
122
Voted
WACV
2005
IEEE
15 years 6 months ago
Shared Features for Scalable Appearance-Based Object Recognition
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Erik Murphy-Chutorian, Jochen Triesch
102
Voted
TSMC
2002
119views more  TSMC 2002»
15 years 3 days ago
Scene analysis by integrating primitive segmentation and associative memory
Scene analysis is a major aspect of perception and continues to challenge machine perception. This paper addresses the scene-analysis problem by integrating a primitive segmentatio...
DeLiang L. Wang, Xiuwen Liu