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CVPR
2006
IEEE
14 years 9 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
IJCV
2008
151views more  IJCV 2008»
13 years 7 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
CVPR
2003
IEEE
14 years 9 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
IJCV
2000
132views more  IJCV 2000»
13 years 7 months ago
2 1/2 D Visual Servoing with Respect to Unknown Objects Through a New Estimation Scheme of Camera Displacement
Classical visual servoing techniques need a strong a priori knowledge of the shape and the dimensions of the observed objects. In this paper, we present how the 2 1/2 D visual serv...
Ezio Malis, François Chaumette
MIRRORBOT
2005
Springer
144views Robotics» more  MIRRORBOT 2005»
14 years 1 months ago
Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System
We have implemented a neurobiologically plausible system on a robot that integrates visual attention, object recognition, language and action processing using a coherent cortex-lik...
Rebecca Fay, Ulrich Kaufmann, Andreas Knoblauch, H...