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...
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...
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...
?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...
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...