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EDBT 2026 Demo / reviewers in the wild / expert

Michael Daum 0002

dblp:51/2802-2 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, 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.

Artificial intelligence
1 paper
3D vision · 100%
Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d reconstruction		 0.011998
On 3-D Surface Reconstruction Using Shape from Shadows · CVPR 1998
Computer vision › 3D vision › 3d shape reconstruction › shape from x
shape from shadow		 0.011998
On 3-D Surface Reconstruction Using Shape from Shadows · CVPR 1998
Computational photography and imaging › photometric analysis
shadow analysis		 0.011998
On 3-D Surface Reconstruction Using Shape from Shadows · CVPR 1998

Methods — techniques the papers use, named apart from their topics

light source motion · 0.0reconstruction algorithms · 0.0reconstruction algorithm · 0.0
YearPublicationVenuePosition
1998 Out of the Dark: Using Shadows to Reconstruct 3D Surfaces
Michael Daum 0002, Gregory Dudek
 ACCV (1)1
1998 On 3-D Surface Reconstruction Using Shape from Shadows
abstract
In this paper we discuss new results on the Shape From Darkness problem: using the motion of cast shadows to recover scene structure. Our approach is based on collecting a set of images from a fixed viewpoint as a known light source mover; "across the sky". Previously published solutions to this problem have performed the reconstruction only for cross sections of the scene. In this paper, we present a reconstruction algorithm and discuss the reconstruction of an entire 3-D scene under various light source trajectories. We also consider the constraints on reconstruction. We conclude with experimental results that illustrate the convergence properties of the solution process and its robustness properties.
Michael Daum 0002, Gregory Dudek
 CVPR1