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ICPR
2010
IEEE
14 years 12 days ago
A Graph Matching Algorithm using Data-Driven Markov Chain Monte Carlo Sampling
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
Jungmin Lee, Minsu Cho, Kyoung Mu Lee
HAPTICS
2005
IEEE
13 years 11 months ago
Dynamic Primitive Caching for Haptic Rendering of Large-Scale Models
In this paper we present a software approach to managing complexity for haptic rendering of large-scale geometric models, consisting of tens to hundreds of thousands of distinct g...
Mashhuda Glencross, Roger J. Hubbold, Ben Lyons
HAPTICS
2007
IEEE
13 years 12 months ago
Surface Interrogation Methods for Haptic Rendering of Virtual Objects
The process which enables virtual objects to mimic their real world counterparts is known as realistic rendering in haptics. Realistic sensations could relate to any spatial featu...
Anusha Sridaran, Dianne Hansford, Kanav Kahol, Set...
ICCV
2001
IEEE
14 years 7 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
HAPTICS
2007
IEEE
13 years 5 months ago
A Hybrid Actuation Approach for Haptic Devices
This paper presents a new actuation approach which combines the use of brakes, springs and mini motors to produce a safer and more energy efficient way to drive haptic devices. Th...
François Conti, Oussama Khatib, Charles Bau...