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Optimal Regular Sampling
| Content Provider | CiteSeerX |
|---|---|
| Author | Möller, Torsten Entezari, Alireza Dyer, Ramsay |
| Abstract | In this paper we derive piecewise linear and piecewise cubic box spline reconstruction filters for data sampled on the body centered cubic (BCC) lattice. We analytically derive a time domain representation of these reconstruction filters and using the Fourier slice-projection theorem we derive their frequency responses. The quality of these filters, when used in reconstructing BCC sampled volumetric data, is discussed and is demonstrated with a raycaster. Moreover, to demonstrate the superiority of the BCC sampling, the resulting reconstructions are compared with those produced from similar filters applied to data sampled on the Cartesian lattice. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Fourier Slice-projection Theorem Optimal Regular Volumetric Data Resulting Reconstruction Similar Filter Time Domain Representation Bcc Sampling Cartesian Lattice Reconstruction Filter Frequency Response Piecewise Linear |
| Content Type | Text |
| Resource Type | Article |
