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» Two Methods for Interpolating Rigid Body Motions
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EMMCVPR
2001
Springer
13 years 12 months ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura
3DPVT
2004
IEEE
183views Visualization» more  3DPVT 2004»
13 years 11 months ago
Projection Model, 3D Reconstruction and Rigid Motion Estimation from Non-Central Catadioptric Images
This paper addresses the problem of rigid motion estimation and 3D reconstruction in vision systems where it is possible to recover the incident light ray direction from the image...
Nuno Gonçalves, Helder Araújo
TVCG
2010
145views more  TVCG 2010»
13 years 5 months ago
Fluid Simulation with Articulated Bodies
—We present an algorithm for creating realistic animations of characters that are swimming through fluids. Our approach combines dynamic simulation with data-driven kinematic mot...
Nipun Kwatra, Christopher Wojtan, Mark Carlson, Ir...
CGF
2007
139views more  CGF 2007»
13 years 7 months ago
Online Motion Capture Marker Labeling for Multiple Interacting Articulated Targets
In this paper, we propose an online motion capture marker labeling approach for multiple interacting articulated targets. Given hundreds of unlabeled motion capture markers from m...
Qian Yu, Qing Li, Zhigang Deng
CVPR
2008
IEEE
14 years 9 months ago
View-invariant recognition of body pose from space-time templates
We propose a new template-based approach for viewinvariant recognition of body poses, based on geometric constraints derived from the motion of body point triplets. In addition to...
Yuping Shen, Hassan Foroosh