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Moment-Based Opacity Optimization

Zeidan, Mahmoud; Rapp, Tobias; Peters, Christoph; Dachsbacher, Carsten

Abstract:
Geometric structures such as points, lines, and surfaces play a vital role in scientific visualization. However, these visualizations frequently suffer from visual clutter that hinders the inspection of important features behind dense but less important features. In the past few years, geometric cluttering and occlusion avoidance has been addressed in scientific visualization with various approaches such as opacity optimization techniques. In this paper, we present a novel approach for opacity optimization based on recent state-of-the-art moment-based techniques for signal reconstruction. In contrast to truncated Fourier series, momentbased reconstructions of feature importance and optical depth along view rays are highly accurate for sparse regions but also plausible for densely covered regions. At the same time, moment-based methods do not suffer from ringing artifacts. Moreover, this representation enables fast evaluation and compact storage, which is crucial for per-pixel optimization especially for large geometric structures. We also present a fast screen space filtering approach for optimized opacities that works directly on moment buffers. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000120040
Veröffentlicht am 08.06.2020
Originalveröffentlichung
DOI: 10.2312/pgv.20201072
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Visualisierung und Datenanalyse (IVD)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator ISBN: 978-3-03868-107-6
KITopen-ID: 1000120040
Erschienen in Eurographics Symposium on Parallel Graphics and Visualization (EGPGV20), Norrköping, Sweden, May 25-29, 2020. Ed..: S. Frey
Verlag The Eurographics Association
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt.
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