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» Recovering Articulated Object Models from 3D Range Data
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HUMO
2007
Springer
13 years 9 months ago
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
In this paper, we present a 3D registration algorithm based on simulated physical force/moment for articulated human motion tracking. Provided with sparsely reconstructed 3D human ...
Bingbing Ni, Stefan Winkler, Ashraf A. Kassim
PAMI
2006
358views more  PAMI 2006»
13 years 5 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
ICCV
1998
IEEE
14 years 7 months ago
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
In this paper, we present a robust method for creating a triangulated surface mesh from multiple range images. Our method merges a set of range images into a volumetric implicit-s...
Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi
3DPVT
2002
IEEE
136views Visualization» more  3DPVT 2002»
13 years 10 months ago
Extraction and Description of 3D (Articulated) Moving Objects
We seek to extract the three-dimensional motion of articulated objects by passive sensing. We first developed a multi-view system that segments objects from the background before...
Karl J. Sharman, Mark S. Nixon, John N. Carter
ICVS
1999
Springer
13 years 10 months ago
3-D Modelling and Robot Localization from Visual and Range Data in Natural Scenes
Abstract. This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video camera and a range sensor (stereo or laser range finder); we fo...
Carlos Parra, Rafael Murrieta-Cid, Michel Devy, Ma...