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» Surface Reconstruction using Learned Shape Models
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SIAMIS
2010
395views more  SIAMIS 2010»
13 years 7 months ago
A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
CVPR
2011
IEEE
13 years 4 months ago
High-quality shape from multi-view stereo and shading under general illumination
Multi-view stereo methods reconstruct 3D geometry from images well for sufficiently textured scenes, but often fail to recover high-frequency surface detail, particularly for smo...
Chenglei Wu, Bennett Wilburn, Yasuyuki Matsushita,...
ICCSA
2003
Springer
14 years 1 months ago
Urban Site Modeling from LiDAR
This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces. Our modeling approach is based on the use of airborne L...
Suya You, Jinhui Hu, Ulrich Neumann, Pamela Fox
BILDMED
2004
204views Algorithms» more  BILDMED 2004»
13 years 10 months ago
Topologically Correct Extraction of the Cortical Surface of a Brain Using Level-Set Methods
In this paper we present a level-set framework for accurate and efficient extraction of the surface of a brain from MRI data. To prevent the so-called partial volume effect we use ...
Stephan Bischoff, Leif Kobbelt
VLSM
2005
Springer
14 years 2 months ago
A Surface Reconstruction Method for Highly Noisy Point Clouds
In this paper we propose a surface reconstruction method for highly noisy and non-uniform data based on minimal surface model and tensor voting method. To deal with ill-posedness, ...
DanFeng Lu, HongKai Zhao, Ming Jiang 0001, ShuLin ...