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3DUI
2011
75views more  3DUI 2011»
13 years 9 months ago
Dropping the ball: Releasing a virtual grasp
We present a method for improved release of whole-hand virtual grasps. It addresses the problem of objects “sticking” during release after the user’s (real) fingers interpen...
Mores Prachyabrued, Christoph W. Borst
IROS
2008
IEEE
177views Robotics» more  IROS 2008»
15 years 4 months ago
Estimating arm motion and force using EMG signals: On the control of exoskeletons
— There is a great effort during the last decades towards building robotic devices that are worn by humans. These devices, called exoskeletons, are used mainly for support and re...
Panagiotis K. Artemiadis, Kostas J. Kyriakopoulos
SCIA
2009
Springer
261views Image Analysis» more  SCIA 2009»
15 years 2 months ago
Dense and Deformable Motion Segmentation for Wide Baseline Images
In this paper we describe a dense motion segmentation method for wide baseline image pairs. Unlike many previous methods our approach is able to deal with deforming motions and lar...
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Hei...
CVPR
1997
IEEE
15 years 1 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
FGR
1996
IEEE
186views Biometrics» more  FGR 1996»
15 years 1 months ago
Cardboard People: A Parameterized Model of Articulated Image Motion
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Shanon X. Ju, Michael J. Black, Yaser Yacoob