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IROS
2009
IEEE
118views Robotics» more  IROS 2009»
16 years 1 months ago
Data-driven grasping with partial sensor data
— To grasp a novel object, we can index it into a database of known 3D models and use precomputed grasp data for those models to suggest a new grasp. We refer to this idea as dat...
Corey Goldfeder, Matei T. Ciocarlie, Jaime Peretzm...
FGR
2008
IEEE
198views Biometrics» more  FGR 2008»
16 years 27 days ago
Recognizing hand gestures using dynamic Bayesian network
In this paper, we describe a dynamic Bayesian network or DBN based approach to both two-hand gestures and onehand gestures. Unlike wired glove-based approaches, the success of cam...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
IPPS
2008
IEEE
16 years 25 days ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
BLISS
2007
IEEE
16 years 23 days ago
Evolving the Face of a Criminal: How to Search a Face Space More Effectively
Witnesses and victims of serious crime are often required to construct a facial composite, a visual likeness of a suspect’s face. The traditional method is for them to select in...
Charlie D. Frowd, Vicki Bruce, Carol Gannon, Mark ...
CVPR
2010
IEEE
16 years 2 days ago
Secrets of Optical Flow Estimation and Their Principles
The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical flow benchmark. The typical formulation, however...
Deqing Sun, Stefan Roth, Michael Black