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» Scene Reconstruction from Multiple Cameras
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HUMO
2007
Springer
13 years 12 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
CVPR
2003
IEEE
14 years 1 months ago
Dynamic Depth Recovery from Unsynchronized Video Streams
In this paper, we propose an algorithm for estimating dense depth information of dynamic scenes from multiple video streams captured using unsynchronized stationary cameras. We so...
Chunxiao Zhou, Hai Tao
ICCVW
1999
Springer
14 years 7 days ago
Direct Recovery of Planar-Parallax from Multiple Frames
In this paper we present an algorithm that estimates dense planar-parallax motion from multiple uncalibrated views of a 3D scene. This generalizes the \plane + parallax" recov...
Michal Irani, P. Anandan, Meir Cohen
SMILE
1998
Springer
14 years 5 days ago
Interactive 3D Modeling from Multiple Images Using Scene Regularities
Abstract. We present some recent progress in designing and implementing two interactive image-based 3D modeling systems. The first system constructs 3D models from a collection of ...
Heung-Yeung Shum, Richard Szeliski, Simon Baker, M...
ICIP
2001
IEEE
14 years 9 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