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Haarm-Pieter Duiker

dblp:16/5202 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Rendering
image-based rendering
0.012000
Acquiring the reflectance field of a human face · SIGGRAPH 2000
Computational photography and imaging › reflectance acquisition
reflectance field capture
0.012000
Acquiring the reflectance field of a human face · SIGGRAPH 2000
Rendering
global illumination
0.012003
Lighting reconstruction for "The Matrix Reloaded" · SIGGRAPH 2003
Rendering
relighting
0.012000
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
YearPublicationVenuePosition
2003 Lighting reconstruction for "The Matrix Reloaded"
abstract
No abstract available.
Haarm-Pieter Duiker
SIGGRAPH1
2003 Multipass rendering in mental ray
Haarm-Pieter Duiker, Thomas Driemeyer
SIGGRAPH1
2000 Acquiring the reflectance field of a human face
abstract
We 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
SIGGRAPH4