Demo Data from SIGIR 2026 / reviewers in the wild / expert
John Mather
dblp:19/3664
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1
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
2 papers |
Rendering · 50% Computational photography and imaging · 50% | |
| Artificial intelligence
2 papers |
3D vision · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › 3d reconstruction › active 3d reconstruction
structured light reconstruction |
0.4 | 2 | 2016 | 3D Shape and Indirect Appearance by Structured Light Transport · IEEE Trans. Pattern Anal. Mach. Intell. 2016 3D Shape and Indirect Appearance by Structured Light Transport · CVPR 2014 |
Rendering
light transport |
0.4 | 2 | 2016 | 3D Shape and Indirect Appearance by Structured Light Transport · IEEE Trans. Pattern Anal. Mach. Intell. 2016 3D Shape and Indirect Appearance by Structured Light Transport · CVPR 2014 |
Computational photography and imaging › 3d scanning
structured light |
0.4 | 2 | 2016 | 3D Shape and Indirect Appearance by Structured Light Transport · IEEE Trans. Pattern Anal. Mach. Intell. 2016 3D Shape and Indirect Appearance by Structured Light Transport · CVPR 2014 |
Computer vision › 3D vision › multi-view geometry
epipolar geometry |
0.1 | 1 | 2016 | 3D Shape and Indirect Appearance by Structured Light Transport · IEEE Trans. Pattern Anal. Mach. Intell. 2016 |
Computer vision › 3D vision
depth and reconstruction |
0.1 | 1 | 2014 | 3D Shape and Indirect Appearance by Structured Light Transport · CVPR 2014 |
Methods — techniques the papers use, named apart from their topics
projector-camera system · 0.5indirect light separation · 0.5optical domain filtering · 0.4epipolar geometry · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | 3D Shape and Indirect Appearance by Structured Light TransportabstractWe consider the problem of deliberately manipulating the direct and indirect light flowing through a time-varying, general scene in order to simplify its visual analysis. Our approach rests on a crucial link between stereo geometry and light transport: while direct light always obeys the epipolar geometry of a projector-camera pair, indirect light overwhelmingly does not. We show that it is possible to turn this observation into an imaging method that analyzes light transport in real time in the optical domain, prior to acquisition. This yields three key abilities that we demonstrate in an experimental camera prototype: (1) producing a live indirect-only video stream for any scene, regardless of geometric or photometric complexity; (2) capturing images that make existing structured-light shape recovery algorithms robust to indirect transport; and (3) turning them into one-shot methods for dynamic 3D shape capture. Matthew O'Toole, John Mather, Kiriakos N. Kutulakos |
IEEE Trans. Pattern Anal. Mach. Intell. | 2 |
| 2014 | 3D Shape and Indirect Appearance by Structured Light TransportabstractWe consider the problem of deliberately manipulating the direct and indirect light flowing through a time-varying, fully-general scene in order to simplify its visual analysis. Our approach rests on a crucial link between stereo geometry and light transport: while direct light always obeys the epipolar geometry of a projector-camera pair, indirect light overwhelmingly does not. We show that it is possible to turn this observation into an imaging method that analyzes light transport in real time in the optical domain, prior to acquisition. This yields three key abilities that we demonstrate in an experimental camera prototype: (1) producing a live indirect-only video stream for any scene, regardless of geometric or photometric complexity, (2) capturing images that make existing structured-light shape recovery algorithms robust to indirect transport, and (3) turning them into one-shot methods for dynamic 3D shape capture. Matthew O'Toole, John Mather, Kiriakos N. Kutulakos |
CVPR | 2 |