Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Synthesis and rendering of seamless and non-repetitive 4D texture variations for measured optical material properties

: Ritz, Martin; Breitfelder, Simon; Santos, Pedro; Kuijper, Arjan; Fellner, Dieter W.


Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Computer Graphics and Interactive Techniques -SIGGRAPH-:
SA 2018, SIGGRAPH Asia 2018 Technical Briefs : Tokyo, Japan, December 04 - 07, 2018
New York: ACM, 2018
ISBN: 978-1-4503-6062-3
Art. 32, 4 pp.
Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH ASIA) <11, 2018, Tokyo>
Conference Paper
Fraunhofer IGD ()
Texturing; physically based simulation; perception; texture synthesis; Guiding Theme: Digitized Work; Guiding Theme: Visual Computing as a Service; Research Area: Computer graphics (CG); Research Area: Computer vision (CV); Research Area: (Interactive) simulation (SIM); Research Area: Modeling (MOD)

We have lifted the one weakness of an existing fully automatic acquisition system for spatially varying optical material behavior of real object surfaces. While its expression of spatially varying material behavior with spherical dependence on incoming light as 4D texture (ABTF material model) allows flexible mapping on arbitrary 3D geometries, photo-realistic rendering and interaction in real-time, this very method of texture-like representation exposed it to common problems of texturing, striking in two levels. First, non-seamless textures create visible border artifacts. Second, even a perfectly seamless texture causes repetition artifacts due to side-by-side distribution in large numbers over the 3D surface. We solved both problems through our novel texture synthesis that generates a set of seamless texture variations randomly distributed on the surface at shading time. When compared to regular 2D textures, the inter-dimensional coherence of the 4D ABTF material model poses entirely new challenges to texture synthesis, which includes maintaining the consistency of material behavior throughout the space spanned by the spatial image domain and the angular illumination hemisphere. In addition, we tackle the increased memory consumption caused by the numerous variations through a fitting scheme specifically designed to reconstruct the most prominent effects captured in the material model.