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Ben Herzberg

dblp:40/9054 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

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

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › stereo vision
stereo matching
0.112009
Stereo from flickering caustics · ICCV 2009
Computational photography and imaging › illumination modeling
natural illumination
0.012009
Stereo from flickering caustics · ICCV 2009

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

temporal radiance variation analysis · 0.2
YearPublicationVenuePosition
2009 Stereo from flickering caustics
abstract
Underwater, natural illumination typically varies strongly temporally and spatially. The reason is that waves on the water surface refract light into the water in a spatiotemporally varying manner. The resulting underwater illumination field is known as underwater caustics or flicker. In past studies, flicker has often been considered to be an undesired effect, which degrades the quality of images. In contrast, in this work, we show that flicker can actually be useful for vision in the underwater domain. Specifically, it solves very simply, accurately, and densely the stereo correspondence problem, irrespective of the object's texture. The temporal radiance variations due to flicker are unique to each object point, thus disambiguating the correspondence, with very simple calculations. This process is further enhanced by compounding the spatial variability in the flicker field. The method is demonstrated by underwater in-situ experiments.
Yohay Swirski, Yoav Y. Schechner, Ben Herzberg, Shahriar Negahdaripour
ICCV3