2003
Spherical Object Reconstruction Using Simplex Meshes from Sparse Data
MATULA, Pavel and David SVOBODABasic information
Original name
Spherical Object Reconstruction Using Simplex Meshes from Sparse Data
Authors
Edition
Berlin Heidelberg New York, Discrete Geometry for Computer Imagery, p. 524-533, 10 pp. 2003
Publisher
Springer-Verlag
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher
Germany
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/00216224:14330/03:00009185
Organization unit
Faculty of Informatics
ISBN
3-540-20499-7
UT WoS
000187499600050
Keywords in English
spherical objects; object reconstruction; deformable models; sparse data; simplex mesh; volumetric image segmentation
Tags
Tags
International impact, Reviewed
Changed: 3/6/2010 15:53, doc. RNDr. Pavel Matula, Ph.D.
Abstract
In the original language
A new method for spherical object reconstruction based on deformation of star-shaped simplex meshes has been developed in our laboratory and published recently. The method can handle volumetric as well as three-dimensional range data and is easy to use and relatively fast. The method, however, can yield wrong results for sparse data. The goal of this paper is to describe a modification of the method that is suitable also for sparse data. The performance of the proposed modification is demonstrated on real biomedical data.
Links
| IAB5004102, research and development project |
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| IBS5004010, research and development project |
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| MSM 143300002, plan (intention) |
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