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» Robust 3D pose estimation from multiple video cameras
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ICCV
2007
IEEE
16 years 1 months ago
A systematic approach for 2D-image to 3D-range registration in urban environments
The photorealistic modeling of large-scale objects, such as urban scenes, requires the combination of range sensing technology and digital photography. In this paper, we attack th...
Lingyun Liu, Ioannis Stamos
ICPR
2008
IEEE
16 years 27 days ago
Motion capture data retrieval using an artist's doll
In this paper, we present a keyframe-based human motion capture data retrieval system which uses a wooden doll as the input device. A user inputs a keyframe by posing an artist�...
Bolan Jiang, James Davis, Prabath Gunawardane, Tie...
3DPVT
2004
IEEE
166views Visualization» more  3DPVT 2004»
15 years 3 months ago
Multi-Camera Reconstruction based on Surface Normal Estimation and Best Viewpoint Selection
In this paper, we present a new algorithm for reconstructing an environment from images recorded by multiple calibrated cameras. Multiple camera systems challenge traditional ster...
Xenophon Zabulis, Kostas Daniilidis
ICIP
2001
IEEE
16 years 1 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
ICCV
2009
IEEE
14 years 9 months ago
Complex volume and pose tracking with probabilistic dynamical models and visual hull constraints
We propose a method for estimating the pose of a human body using its approximate 3D volume (visual hull) obtained in real time from synchronized videos. Our method can cope with ...
Norimichi Ukita, Michiro Hirai, Masatsugu Kidode