Demo Data from EDBT 2026 / reviewers in the wild / expert
Haarm-Pieter Duiker
dblp:16/5202
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-authorHuman-computer interaction and ubiquitous computing · 3 · 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
3 papers |
Rendering · 83% Computational photography and imaging · 17% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
image-based rendering |
0.0 | 1 | 2000 | Acquiring the reflectance field of a human face · SIGGRAPH 2000 |
Computational photography and imaging › reflectance acquisition
reflectance field capture |
0.0 | 1 | 2000 | Acquiring the reflectance field of a human face · SIGGRAPH 2000 |
Rendering
global illumination |
0.0 | 1 | 2003 | Lighting reconstruction for "The Matrix Reloaded" · SIGGRAPH 2003 |
Rendering
relighting |
0.0 | 1 | 2000 | Acquiring the reflectance field of a human face · SIGGRAPH 2000 |
Methods — techniques the papers use, named apart from their topics
reflectance function estimation · 0.0light stage · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Lighting reconstruction for "The Matrix Reloaded"abstractNo abstract available. Haarm-Pieter Duiker |
SIGGRAPH | 1 |
| 2003 | Multipass rendering in mental ray
Haarm-Pieter Duiker, Thomas Driemeyer |
SIGGRAPH | 1 |
| 2000 | Acquiring the reflectance field of a human faceabstractWe present a method to acquire the reflectance field of a human face and use these measurements to render the face under arbitrary changes in lighting and viewpoint. We first acquire images of the face from a small set of viewpoints under a dense sampling of incident illumination directions using a light stage. We then construct a reflectance function image for each observed image pixel from its values over the space of illumination directions. From the reflectance functions, we can directly generate images of the face from the original viewpoints in any form of sampled or computed illumination. To change the viewpoint, we use a model of skin reflectance to estimate the appearance of the reflectance functions for novel viewpoints. We demonstrate the technique with synthetic renderings of a person's face under novel illumination and viewpoints. Paul E. Debevec, Tim Hawkins, Chris Tchou, Haarm-Pieter Duiker, Westley Sarokin, Mark Sagar |
SIGGRAPH | 4 |