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@inproceedings{490477, author = {Matula, Pavel and Svoboda, David}, address = {Berlin Heidelberg New York}, booktitle = {Discrete Geometry for Computer Imagery}, keywords = {spherical objects; object reconstruction; deformable models; sparse data; simplex mesh; volumetric image segmentation}, language = {eng}, location = {Berlin Heidelberg New York}, isbn = {3-540-20499-7}, note = {LNCS 2886}, pages = {524-533}, publisher = {Springer-Verlag}, title = {Spherical Object Reconstruction Using Simplex Meshes from Sparse Data}, url = {http://www.springerlink.com/content/t2t0bw1wul5ay8kd/}, year = {2003} }
TY - JOUR ID - 490477 AU - Matula, Pavel - Svoboda, David PY - 2003 TI - Spherical Object Reconstruction Using Simplex Meshes from Sparse Data PB - Springer-Verlag CY - Berlin Heidelberg New York SN - 3540204997 N1 - LNCS 2886 KW - spherical objects KW - object reconstruction KW - deformable models KW - sparse data KW - simplex mesh KW - volumetric image segmentation UR - http://www.springerlink.com/content/t2t0bw1wul5ay8kd/ N2 - 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. ER -
MATULA, Pavel a David SVOBODA. Spherical Object Reconstruction Using Simplex Meshes from Sparse Data. In \textit{Discrete Geometry for Computer Imagery}. Berlin Heidelberg New York: Springer-Verlag, 2003, s.~524-533. ISBN~3-540-20499-7.
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