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» Learning Non-Rigid 3D Shape from 2D Motion
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CVPR
1999
IEEE
16 years 1 months ago
Factorization as a Rank 1 Problem
Tomasi and Kanade [1] introduced the factorization method for recovering 3D structure from 2D video. In their formulation, the 3D shape and 3D motion are computed by using an SVD ...
Pedro M. Q. Aguiar, José M. F. Moura
TROB
2008
169views more  TROB 2008»
14 years 11 months ago
Visual Servoing Based on Structure From Controlled Motion or on Robust Statistics
Abstract--This paper focuses on the way to achieve accurate visual servoing tasks when the shape of the object being observed as well as the desired image are unknown. More precise...
Christophe Collewet, François Chaumette
ICRA
2006
IEEE
146views Robotics» more  ICRA 2006»
15 years 5 months ago
Towards 3D Motion Estimation from Deformable Surfaces
— Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case o...
Adrien Bartoli
ISBI
2007
IEEE
15 years 6 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
HUMO
2007
Springer
15 years 5 months ago
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel