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Kourosh Pahlavan

dblp:91/10792 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1993
—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 · 1 · 1 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
Robot navigation and mapping · 87% Motion planning and robot control · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
active vision
0.011993
Dynamic fixation [active vision] · ICCV 1993
Robotics › Robot navigation and mapping › active vision
gaze control
0.011993
Dynamic fixation [active vision] · ICCV 1993

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

vergence modeling · 0.0disparity detection · 0.0
YearPublicationVenuePosition
1993 Dynamic fixation [active vision]
abstract
Fixation is the link between the observer and the events in the outside world and is a key element in the control strategy of an active vision system. The authors describe how the fixation process functions in human beings in general and discuss one of the essential components of fixation, vergence, in particular. They discuss the components of the human fixation model and through its geometry and organization describe a machine fixation model, running in real-time on a head-eye system. The authors are motivated by the need for gaze control in head-eye systems, which entails the need to clarify some fundamental relations in primate vergence movements, namely, the relations between disparity and blur and between vergence and accommodation. Following the geometry behind vergence movements, it is also suggested that the mechanism for disparity detection can use the symmetry present in the pattern of the left and right images through isolating vergence from version.>
Kourosh Pahlavan, Tomas Uhlin, Jan-Olof Eklundh
ICCV1
1992 A head-eye system - Analysis and design
Kourosh Pahlavan, Jan-Olof Eklundh
CVGIP Image Underst.1