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» Recovering Articulated Object Models from 3D Range Data
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MVA
2000
127views Computer Vision» more  MVA 2000»
13 years 8 months ago
Geometric fusion for a hand-held 3D sensor
This article presents a geometric fusion algorithm developed for the reconstruction of 3D surface models from hand-held sensor data. Hand-held systems allow full 3D movement of th...
Adrian Hilton, John Illingworth
FGR
2004
IEEE
218views Biometrics» more  FGR 2004»
14 years 8 days ago
Affine Correspondence Based Head Pose Estimation for a Sequence of Images by Using a 3D Model
This paper proposes a method of determining human head poses from a sequence of images. The main idea is to use some features in a 3D head model to generate a virtual fronto-paral...
Guoyuan Liang, Hongbin Zha, Hong Liu
VMV
2001
147views Visualization» more  VMV 2001»
13 years 10 months ago
Model-based 3-D Shape and Motion Estimation Using Sliding Textures
Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape er...
Eckehard G. Steinbach, Peter Eisert, Bernd Girod
IJCAI
2003
13 years 10 months ago
An Extension of the ICP Algorithm for Modeling Nonrigid Objects with Mobile Robots
The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Build...
Dirk Hähnel, Sebastian Thrun, Wolfram Burgard
MICCAI
2004
Springer
14 years 9 months ago
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
Mikaël Rousson, Nikos Paragios, Rachid Derich...