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Eron Steger

dblp:11/1972 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
—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.

Artificial intelligence
2 papers
3D vision · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d shape reconstruction
0.122008
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation · Int. J. Comput. Vis. 2008
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation · ICCV 2005
Computer vision › 3D vision › multi-view geometry › triangulation
light-path triangulation
0.122008
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation · Int. J. Comput. Vis. 2008
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation · ICCV 2005
Computer vision › 3D vision › 3d reconstruction › transparent object reconstruction
refractive surface reconstruction
0.112005
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation · ICCV 2005
Computer vision › 3D vision › 3d shape reconstruction
specular surface reconstruction
0.112005
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation · ICCV 2005

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

triangulation · 0.1ray tracing · 0.1environment matting · 0.1
YearPublicationVenuePosition
2008 A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation
Kiriakos N. Kutulakos, Eron Steger
Int. J. Comput. Vis.2
2005 A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation
abstract
We investigate the feasibility of reconstructing an arbitrarily-shaped specular scene (refractive or mirror-like) from one or more viewpoints. By reducing shape recovery to the problem of reconstructing individual 3D light paths that cross the image plane, we obtain three key results. First, we show how to compute the depth map of a specular scene from a single viewpoint, when the scene redirects incoming light just once. Second, for scenes where incoming light undergoes two refractions or reflections, we show that three viewpoints are sufficient to enable reconstruction in the general case. Third, we show that it is impossible to reconstruct individual light paths when light is redirected more than twice. Our analysis assumes that, for every point on the image plane, we know at least one 3D point on its light path. This leads to reconstruction algorithms that rely on an "environment matting" procedure to establish pixel-to-point correspondences along a light path. Preliminary results for a variety of scenes (mirror, glass, etc) are also presented.
Kiriakos N. Kutulakos, Eron Steger
ICCV2