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» Adaptive and quality 3D meshing from imaging data
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ICCV
1998
IEEE
16 years 2 months ago
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
In this paper, we present a robust method for creating a triangulated surface mesh from multiple range images. Our method merges a set of range images into a volumetric implicit-s...
Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi
114
Voted
CVPR
2010
IEEE
15 years 2 months ago
Robust Piecewise-Planar 3D Reconstruction and Completion from Large-Scale Unstructured Point Data
In this paper, we present a novel method, the first to date to our knowledge, which is capable of directly and automatically producing a concise and idealized 3D representation f...
Anne-Laure Chauve, Patrick Labatut, Jean-Philippe ...
ICIP
2002
IEEE
16 years 2 months ago
Fitting smooth surfaces to scattered 3D data using piecewise quadratic approximation
The approximation of surfaces to scattered data is an important problem encountered in a variety of scientific applications, such as reverse engineering, computer vision, computer...
Hélio Pedrini, Murilo Vicente Gonçal...
210
Voted
FIMH
2011
Springer
14 years 4 months ago
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI
In this paper, we present an effective algorithm to construct a 3D shape atlas for the left ventricle of heart from cardiac Magnetic Resonance Image data. We derive a framework tha...
Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhenn...
107
Voted
ICIP
2006
IEEE
16 years 2 months ago
Supershape Recovery from 3D Data Sets
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are u...
Andrei V. Gribok, Frédéric Truchetet...