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» Depth Estimation from Image Structure
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129
Voted
CVPR
2010
IEEE
15 years 5 months ago
Multi-View Scene Flow Estimation: A View Centered Variational Approach
We present a novel method for recovering the 3D structure and scene flow from calibrated multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and ...
Tali Bahsa, Yael Moses, Nahum Kiryati
218
Voted
CVPR
2012
IEEE
13 years 4 months ago
Finite Element based sequential Bayesian Non-Rigid Structure from Motion
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
Antonio Agudo, Begoña Calvo, J. M. M. Monti...
100
Voted
ICPR
2008
IEEE
16 years 3 months ago
Extended Kalman filtering approach to stereo video stabilization
Processing of stereo images has become more and more important in recent years because of the availability of various stereo displaying devices. In particular, stabilizing of ster...
Kai Ki Lee, Kin-hong Wong, Man Kin Leung, Michael ...
ICCVW
1999
Springer
15 years 6 months 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
117
Voted
DAGM
2004
Springer
15 years 6 months ago
The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion
Abstract. When an object moves, it covers and uncovers texture in the background. This pattern of change is sufficient to define the object's shape, velocity, relative depth, ...
Theresa Cooke, Douglas W. Cunningham, Heinrich H. ...