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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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CGI
2000
IEEE
14 years 5 days ago
Head Detection and Tracking by 2-D and 3-D Ellipsoid Fitting
A novel procedure for segmenting a set of scattered 3D data obtained from a head and shoulders multiview sequence is presented. The procedure consists of two steps. In the first ...
Nikos Grammalidis, Michael G. Strintzis
SMI
2010
IEEE
218views Image Analysis» more  SMI 2010»
13 years 5 months ago
A Benchmark for 3D Mesh Watermarking
This paper presents a benchmarking system for the evaluation of robust mesh watermarking methods. The proposed benchmark has three different components: a "standard" mesh...
Kai Wang, Guillaume Lavoué, Florence Denis,...
ECCV
2002
Springer
14 years 9 months ago
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
Abstract This paper presents a novel algorithm aiming at analysis and identification of faces viewed from different poses and illumination conditions. Face analysis from a single i...
Sami Romdhani, Volker Blanz, Thomas Vetter
MICCAI
2002
Springer
14 years 8 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
ISVC
2007
Springer
14 years 1 months ago
Automated Scene-Specific Selection of Feature Detectors for 3D Face Reconstruction
In comparison with 2D face images, 3D face models have the advantage of being illumination and pose invariant, which provides improved capability of handling changing environments ...
Yi Yao, Sreenivas R. Sukumar, Besma R. Abidi, Davi...