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» Probabilistic Tracking with Adaptive Feature Selection
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ICCV
2001
IEEE
14 years 9 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ISM
2005
IEEE
133views Multimedia» more  ISM 2005»
14 years 1 months ago
Image Based Tracking of News Stories
Broadcasters often reuse video clips while reporting news stories. New clips are added to the story as it develops replacing old clips. A subset of these video clips may be replay...
Jedrzej Z. Miadowicz, John M. Gauch, Abhishek Shiv...
ICRA
1994
IEEE
89views Robotics» more  ICRA 1994»
13 years 11 months ago
Computation of Shape Through Controlled Active Exploration
Accurate knowledge of depth continues to be of critical importance in robotic systems. Without accurate depth knowledge, tasks such as inspection, tracking, grasping, and collisio...
Christopher E. Smith, Nikolaos Papanikolopoulos
CVPR
2006
IEEE
14 years 9 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
VMV
2001
248views Visualization» more  VMV 2001»
13 years 9 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl