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» Collision Detection for Deformable Objects
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FGR
2004
IEEE
205views Biometrics» more  FGR 2004»
14 years 12 days ago
Oriented Filters for Object Recognition: an Empirical Study
Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations....
Jerry Jun Yokono, Tomaso Poggio
CVPR
2010
IEEE
14 years 2 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...
SMI
2005
IEEE
143views Image Analysis» more  SMI 2005»
14 years 2 months ago
Design and Manipulation of Polygonal Models in a Haptic, Stereoscopic Virtual Environment
This paper presents a flexible, scalable framework for interactive hands-on shape design in a haptic, stereoscopic virtual environment. The framework is founded upon the concept ...
Jing Hua, Ye Duan, Hong Qin
ICIP
2010
IEEE
13 years 6 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
CGF
2002
116views more  CGF 2002»
13 years 8 months ago
Deferred, Self-Organizing BSP Trees
BSP trees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures...
Sigal Ar, Gil Montag, Ayellet Tal