Sciweavers

AMFG
2005
IEEE
211views Biometrics» more  AMFG 2005»
14 years 2 months ago
Non-rigid Face Modelling Using Shape Priors
Non-rigid 3D shape recovery is an inherently ambiguous problem. Given a specific rigid motion, different non-rigid shapes can be found that fit the measurements. To solve this am...
Alessio Del Bue, Xavier Lladó, Lourdes de A...
AMDO
2008
Springer
14 years 2 months ago
Learning to Look at Humans - What Are the Parts of a Moving Body?
We present a system that can segment articulated, non-rigid motion without a priori knowledge of the number of clusters present in the analyzed scenario. We combine existing algori...
Thomas Walther, Rolf P. Würtz
BMVC
2001
14 years 2 months ago
Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation
We address the problem of non-rigid motion and correspondence estimation in 3D images in the absense of prior domain information. A generic framework is utilized in which a soluti...
Pavel Laskov, Chandra Kambhamettu
IBPRIA
2007
Springer
14 years 6 months ago
Extracting Average Shapes from Occluded Non-rigid Motion
This paper presents a method to efficiently estimate average 3-D shapes from non-rigid motion in the case of missing data. Such a shape can be further used to accomplish full reco...
Alessio Del Bue
ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
14 years 6 months ago
Visual Servoing in Non-Rigid Environments: A Space-Time Approach
— Most robotic vision algorithms are proposed by envisaging robots operating in structured environments where the world is assumed to be rigid. These algorithms fail to provide o...
D. Santosh, C. V. Jawahar
ICPR
2002
IEEE
15 years 1 months ago
4-D Voting for Matching, Densification and Segmentation into Motion Layers
* We present a novel approach for grouping from motion, based on a 4-D Tensor Voting computational framework. From sparse point tokens in two frames we recover the dense velocity f...
Gérard G. Medioni, Mircea Nicolescu
ICIP
2007
IEEE
15 years 2 months ago
Mirror-Based Multi-View Analysis of Facial Motions
We present our system for the capturing and analysis of 3D facial motion. A high speed camera is used as capture unit in combination with two surface mirrors. The mirrors provide ...
Jürgen Rurainsky, Peter Eisert
ICCV
2003
IEEE
15 years 2 months ago
Filtering Using a Tree-Based Estimator
Within this paper a new framework for Bayesian tracking is presented, which approximates the posterior distribution at multiple resolutions. We propose a tree-based representation...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...