Spherical Object Reconstruction Using Simplex Meshes from Sparse Data
| Authors | |
|---|---|
| Year of publication | 2003 |
| Type | Article in Proceedings |
| Conference | Discrete Geometry for Computer Imagery |
| MU Faculty or unit | |
| 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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