Demo Data from VLDB 2026 / reviewers in the wild / expert
Piti Irawan
dblp:47/912
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Rendering · 87% Image and video processing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
reflectance modeling |
0.1 | 1 | 2012 | Specular reflection from woven cloth · ACM Trans. Graph. 2012 |
Rendering › appearance modeling
scattering models |
0.1 | 1 | 2012 | Specular reflection from woven cloth · ACM Trans. Graph. 2012 |
Image and video processing
texture analysis |
0.0 | 1 | 2012 | Specular reflection from woven cloth · ACM Trans. Graph. 2012 |
Methods — techniques the papers use, named apart from their topics
scattering model · 0.1measurement-based validation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Specular reflection from woven clothabstractThe appearance of a particular fabric is produced by variations in both large-scale reflectance and small-scale texture as the viewing and illumination angles change across the surface. This article presents a study of the reflectance and texture of woven cloth that aims to identify and model important optical features of cloth appearance. New measurements are reported for a range of fabrics including natural and synthetic fibers as well as staple and filament yarns. A new scattering model for woven cloth is introduced that describes the reflectance and the texture based on an analysis of specular reflection from the fibers. Unlike data-based models, our procedural model doesn't require image data. It can handle a wide range of fabrics using a small set of physically meaningful parameters that describe the characteristics of the fibers, the geometry of the yarns, and the pattern of the weave. The model is validated against the measurements and evaluated by comparisons to high-resolution video of the real fabrics and to BTF models of two of the fabrics. Piti Irawan, Steve Marschner |
ACM Trans. Graph. | 1 |
| 2005 | Perceptually Based Tone Mapping of High Dynamic Range Image Streams
Piti Irawan, James A. Ferwerda, Steve Marschner |
Rendering Techniques | 1 |