Spherical Object Reconstruction Using Simplex Meshes from Sparse Data

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Authors

MATULA Pavel SVOBODA David

Year of publication 2003
Type Article in Proceedings
Conference Discrete Geometry for Computer Imagery
MU Faculty or unit

Faculty of Informatics

Citation
Web http://www.springerlink.com/content/t2t0bw1wul5ay8kd/
Field Use of computers, robotics and its application
Keywords spherical objects; object reconstruction; deformable models; sparse data; simplex mesh; volumetric image segmentation
Description 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.
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