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» Robotic Grasping of Novel Objects using Vision
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TCSV
2008
202views more  TCSV 2008»
13 years 7 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao
ICRA
2002
IEEE
144views Robotics» more  ICRA 2002»
14 years 20 days ago
Sensing Nanonewton Level Forces by Visually Tracking Structural Deformations
When assembling MEMS devices or manipulating biological cells it is often beneficial to have information about the force that is being applied to these objects. This force informa...
Michael A. Greminger, Ge Yang, Bradley J. Nelson
CVPR
2008
IEEE
14 years 9 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
ICCV
2001
IEEE
14 years 9 months ago
Learning the Semantics of Words and Pictures
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
Kobus Barnard, David A. Forsyth
MVA
1998
140views Computer Vision» more  MVA 1998»
13 years 7 months ago
Improved Disparity Estimation by Matching with an Adaptive Window
A novel technique for disparity estimation based on block matching with a local adaptive window is introduced in this paper. In the proposed approach the size and shape of the ref...
Ebroul Izquierdo