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» Surface Reconstruction using Learned Shape Models
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IPMI
2007
Springer
14 years 10 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
SMA
2005
ACM
239views Solid Modeling» more  SMA 2005»
14 years 2 months ago
Bender: a virtual ribbon for deforming 3D shapes in biomedical and styling applications
In contrast to machined mechanical parts, the 3D shapes encountered in biomedical or styling applications contain many tubular parts, protrusions, engravings, embossings, folds, a...
Ignacio Llamas, Alexander Powell, Jarek Rossignac,...
CRV
2005
IEEE
192views Robotics» more  CRV 2005»
14 years 2 months ago
3D Reconstruction of Environments for Planetary Exploration
In this paper we present our approach to 3D surface reconstruction from large sparse range data sets. In space robotics constructing an accurate model of the environment is very i...
Sebastien Gemme, Joseph Nsasi Bakambu, Ioannis M. ...
MVA
1990
139views Computer Vision» more  MVA 1990»
13 years 10 months ago
Generation of 3-D Models Based on Image Fusion of Range Data
This paper presents a method for measuringthe entire three dimensional (3D) shape of object, which is applicable for 3D digitizing into a solid modeling CAD. The method measures t...
Yasuo Sakaguchi, Hirokazu Kato, Kosuke Sato, Seiji...
ICPR
2010
IEEE
14 years 4 months ago
Gait Learning-Based Regenerative Model: A Level Set Approach
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...