Real-Time Curvature-aware Re-Parametrization and Tessellation of Bézier Surfaces

Title data

Buchenau, Christoph ; Guthe, Michael:
Real-Time Curvature-aware Re-Parametrization and Tessellation of Bézier Surfaces.
In: Andres, Bjoern ; Campen, Marcel ; Sedlmair, Michael (ed.): Vision, Modeling, and Visualization. - Dresden : The Eurographics Association , 2021 . - pp. 47-54
ISBN 978-3-03868-161-8
DOI: https://doi.org/10.2312/vmv.20211370

Official URL:

Abstract in another language

Interactive tessellation of parametric surfaces has many applications in both engineering and entertainment computing. The most common primitives are bi-cubic Bézier patches which are, among others, an intermediate representation of subdivision surfaces for rendering. The current state-of-the-art employs hardware tessellation where a uniform subdivison pattern is used per patch. If the curvature varies strongly over a patch, this results in an over-tessellation of flat areas. Based on the observation that the second derivative changes linearly over the patch, we show that it is possible to reparameterize the patches such that the tessellation adapts to the curvature. This way, we reduce the number of primitives by an average of 15% for the same error bound.

Further data

Item Type:	Article in a book
Refereed:	Yes
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science V > Professor Applied Computer Science V - Univ.-Prof. Dr. Michael Guthe Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science V
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science
Date Deposited:	14 Oct 2021 08:37
Last Modified:	10 Jan 2024 11:42
URI:	https://eref.uni-bayreuth.de/id/eprint/67327