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  Perception-Based Fast Rendering and Antialiasing of Walkthrough Sequences

Myszkowski, K., Rokita, P., & Tawara, T. (2000). Perception-Based Fast Rendering and Antialiasing of Walkthrough Sequences. IEEE Transactions on Visualization and Computer Graphics, 6(4), 360-379. Retrieved from http://www.computer.org/tvcg/tg2000/v4toc.htm.

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 Urheber:
Myszkowski, Karol1, Autor           
Rokita, Przemyslaw1, Autor           
Tawara, Takehiro1, Autor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Zusammenfassung: In this paper, we consider accelerated rendering of high quality walkthrough animation sequences along predefined paths. To improve rendering performance we use a combination of: a hybrid ray tracing and Image-Based Rendering (IBR) technique, and a novel perception-based antialiasing technique. In our rendering solution we derive as many pixels as possible using inexpensive IBR techniques without affecting the animation quality. A perception-based spatiotemporal Animation Quality Metric (AQM) is used to automatically guide such a hybrid rendering. The Image Flow (IF) obtained as a by-product of the IBR computation is an integral part of the AQM. The final animation quality is enhanced by an efficient spatiotemporal antialiasing, which utilizes the IF to perform a motion-compensated filtering. The filter parameters have been tuned using the AQM predictions of animation quality as perceived by the human observer. These parameters adapt locally to the visual pattern velocity.

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Sprache(n): eng - English
 Datum: 2010-03-122000
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 520170
URI: http://www.computer.org/tvcg/tg2000/v4toc.htm
Anderer: Local-ID: C125675300671F7B-D26AC90942D3569BC1256A000039C125-Myszkowski2000a
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Titel: IEEE Transactions on Visualization and Computer Graphics
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 6 (4) Artikelnummer: - Start- / Endseite: 360 - 379 Identifikator: ISSN: 1077-2626