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» Modeling and Learning Contact Dynamics in Human Motion
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CVPR
2010
IEEE
12 years 5 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
UIST
2009
ACM
14 years 2 months ago
Detecting and leveraging finger orientation for interaction with direct-touch surfaces
Current interactions on direct-touch interactive surfaces are often modeled based on properties of the input channel that are common in traditional graphical user interfaces (GUI)...
Feng Wang, Xiang Cao, Xiangshi Ren, Pourang Irani
ROMAN
2007
IEEE
167views Robotics» more  ROMAN 2007»
14 years 2 months ago
Active Teaching in Robot Programming by Demonstration
— Robot Programming by Demonstration (RbD) covers methods by which a robot learns new skills through human guidance. In this work, we take the perspective that the role of the tea...
Sylvain Calinon, Aude Billard
TMI
2010
208views more  TMI 2010»
13 years 2 months ago
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
14 years 2 months ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...