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» Computational methods for understanding 3D shapes
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ICPR
2004
IEEE
14 years 11 months ago
Conformal Method for Quantitative Shape Extraction: Performance Evaluation
We evaluate our recently developed conformal method for quantitative shape extraction from unorganized 3D oriented point clouds. The conformal method has been tested previously on...
George Kamberov, Gerda Kamberova
ICCV
2007
IEEE
14 years 4 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
CVPR
2011
IEEE
13 years 5 months ago
Intrinsic Dense 3D Surface Tracking
This paper presents a novel intrinsic 3D surface distance and its use in a complete probabilistic tracking framework for dynamic 3D data. Registering two frames of a deforming 3D ...
Yun Zeng, Chaohui Wang, Yang Wang, David Gu, Dimit...
ICPR
2006
IEEE
14 years 11 months ago
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera
In this paper, we propose a method for human tracking using 3D human body model in a video sequence with a monocular moving camera. Tracking a human with unconstrained movement in...
Sungmin Kim, Chang-Beom Park, Seong-Whan Lee
MIRAGE
2009
Springer
14 years 4 months ago
Interpreting Face Images by Fitting a Fast Illumination-Based 3D Active Appearance Model
Abstract. We present a fast and robust iterative method for interpreting face images under non-uniform lighting conditions by using a fitting algorithm which utilizes an illuminat...
Salvador E. Ayala-Raggi, Leopoldo Altamirano Roble...