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» Learning Dynamics of Complex Motions from Image Sequences
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ICCV
1999
IEEE
16 years 6 months ago
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields
In this paper we address the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context standard motion estimation techniques ...
Étienne Mémin, Patrick Pérez
CVPR
2004
IEEE
16 years 6 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
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 pr...
Ankur Agarwal, Bill Triggs
ICRA
2006
IEEE
81views Robotics» more  ICRA 2006»
15 years 10 months ago
Uncertainty Ellipsoids Calculations for Complex 3D Reconstructions
— Many methods exist for the automatic and optimal 3D reconstruction of camera motion and scene structure from image sequence (’Structure from Motion‘ or SfM). The solution t...
Maxime Lhuillier, Mathieu Perriollat
AMDO
2000
Springer
15 years 7 months ago
Matching a Human Walking Sequence with a VRML Synthetic Model
- In this paper we present a specific matching technique based on basic motor patterns between two image sequences taken from different view points and a VRML synthetic human model...
Jose Maria Buades Rubio, Ramon Mas, Francisco J. P...
ICCV
2007
IEEE
15 years 10 months ago
Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology
We propose an operational method to extract the left ventricle (LV) systole dynamics using HARmonic Phase (HARP) images extracted from tagged cardiac MR sequences. Established tec...
Luc Florack, Hans C. van Assen, Avan Suinesiaputra