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ICCV
2007
IEEE
14 years 3 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...
ICCV
1999
IEEE
14 years 1 months ago
Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
Chi-Keung Tang, Gérard G. Medioni
VMV
2001
303views Visualization» more  VMV 2001»
13 years 10 months ago
Extracting Cylinders in Full 3D Data Using a Random Sampling Method and the Gaussian Image
This paper presents a new method for extracting cylinders from an unorganized set of 3D points. The originality of this approach is to separate the extraction problem into two dis...
Thomas Chaperon, François Goulette
IROS
2009
IEEE
188views Robotics» more  IROS 2009»
14 years 3 months ago
Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
Abstract— This paper describes an efficient method for retrieving the 3-dimensional shape associated to novelties in the environment of an autonomous robot, which is equipped wi...
Pedro Núñez Trujillo, Paulo Drews, R...
SSD
1993
Springer
91views Database» more  SSD 1993»
14 years 26 days ago
Volumes From Overlaying 3-D Triangulations in Parallel
Consider a polyhedron that is triangulated into tetrahedra in two different ways. This paper presents an algorithm, and hints for implementation, for finding the volumes of the i...
Wm. Randolph Franklin, Mohan S. Kankanhalli