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» Flux Maximizing Geometric Flows
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ICCV
2001
IEEE
14 years 6 months ago
Flux Maximizing Geometric Flows
Several geometric active contour models have been proposed for segmentation in computer vision. The essential idea is to evolve a curve (in 2D) or a surface (in 3D) under constrai...
Alexander Vasilevskiy, Kaleem Siddiqi
EMMCVPR
2001
Springer
13 years 9 months ago
3D Flux Maximizing Flows
A number of geometric active contour and surface models have been proposed for shape segmentation in the literature. The essential idea is to evolve a curve (in 2D) or a surface (i...
Kaleem Siddiqi, Alexander Vasilevskiy
EMMCVPR
2003
Springer
13 years 9 months ago
Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach
This paper presents a novel method for surface recovery from discrete 3D point data sets. In order to produce improved reconstruction results, the algorithm presented in this paper...
Peter Savadjiev, Frank P. Ferrie, Kaleem Siddiqi
MICCAI
2004
Springer
14 years 5 months ago
Geometric Flows for Segmenting Vasculature in MRI: Theory and Validation
Abstract. Often in neurosurgical planning a dual spin echo acquisition is performed that yields proton density (PD) and T2-weighted images to evaluate edema near a tumor or lesion....
Maxime Descoteaux, D. Louis Collins, Kaleem Siddiq...
CVPR
2007
IEEE
14 years 6 months ago
Multiview normal field integration using level set methods
In this paper, we propose a new method to integrate multiview normal fields using level sets. In contrast with conventional normal integration algorithms used in shape from shadin...
Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee