Dissertation/Thesis

A Parallel Splatting Algorithm with Occlusion Culling

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A Parallel Splatting Algorithm with Occlusion Culling
Συγγραφείς: Jian Huang
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www.cs.utk.edu/~huangj/papers/euro_parallel.pdf.
Έτος έκδοσης: 2000
Συλλογή: CiteSeerX
Περιγραφή: Splatting is a volume rendering technique that projects and accumulates voxels onto the screen. It is able to incorporate a variety of reconstruction kernels without extra computational overhead, as well as reduce computational and storage costs using a sparse volume representation. Previous splatting algorithms suffered from artifacts because they incorrectly separate volume reconstruction and volume integration. The IASB (Image-Aligned Sheet-Based) splatting overcomes these problems by accumulating voxels onto sheets aligned to be parallel with the image plane. In addition, it introduces a novel approach for splatting to cull occluded voxels using an opacity map, called an occlusion map, that provides a substantial speedup in serial implementations. Parallel approaches to volume rendering are able to overcome the enormous amount of computation required. We present a parallel solution to the IASB splatting approach that
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.2846; http://www.cs.utk.edu/~huangj/papers/euro_parallel.pdf
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.2846
http://www.cs.utk.edu/~huangj/papers/euro_parallel.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.BEB43569
Βάση Δεδομένων: BASE
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