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180
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AMDO
2006
Springer
15 years 7 months ago
Predicting 3D People from 2D Pictures
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Leonid Sigal, Michael J. Black
135
Voted
IJCV
1998
153views more  IJCV 1998»
15 years 3 months ago
Rational Filters for Passive Depth from Defocus
A fundamental problem in depth from defocus is the measurement of relative defocus between images. The performance of previously proposed focus operators are inevitably sensitive t...
Masahiro Watanabe, Shree K. Nayar
139
Voted
CVPR
2008
IEEE
15 years 10 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
127
Voted
ICIP
2000
IEEE
16 years 5 months ago
Robust 2D Shape Estimation of Moving Objects Considering Spatial and Temporal Coherency in One Map Detection Rule
In this paper an algorithm for 2D shape estimation of moving objects is proposed, which reduces the estimation error compared to the ISO/MPEG-4 reference. The improvement is achie...
Roland Mech
128
Voted
SIP
2001
15 years 5 months ago
Estimation of optical flow for large displacements
In this paper we present a new method to estimate optical flow for large displacements. It is based on prediction of global flow field parameters, performs better than multiresolu...
Torsten Radtke, Horst Salzwedel