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Mouafak Mesrabi

dblp:92/6522 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 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
Robot navigation and mapping · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
active vision
0.011992
Gaze Control for a Binocular Camera Head · ECCV 1992
Robotics › Robot navigation and mapping › active vision
gaze control
0.011992
Gaze Control for a Binocular Camera Head · ECCV 1992
YearPublicationVenuePosition
1995 Comparison of kinematic and visual servoing for fixation
abstract
This paper describes experiments in estimation and control of the fixation point with a 10 degree of freedom head-neck-body system. A system has been constructed which uses standard kinematic techniques to estimate the fixation point. Two approaches have been investigated to control the fixation point: 3D kinematic estimation and 2D visual servoing. Kinematics is shown to be efficient provided that there is a sufficiently precise model of the kinematic chain. In particular, large errors in the kinematic model can cause the system to oscillate. In contrast, visual servoing is extremely robust with respect to errors in the kinematic model, but require a much larger (factor of 10) number of cycles to converge. The two approaches are found to be complementary. Kinematics can be used to perform a ballistic saccade to the fixation point, while visual servoing serves to correct small errors with a "micro-saccade". This approach mimics saccadic control found in the human visual system.
James L. Crowley, Mouafak Mesrabi, François Chaumette
IROS (1)2
1993 Layered Control of a Binocular Camera Head
abstract
This paper describes a layered control system for a binocular stereo head. It begins by a discussion of the principles of layered control. It then describes the mechanical configuration for a binocular camera head with six degrees of freedom. A device level controller is presented which permits an active vision system to command the position of a binocular gaze point in the scene. The final section describes the design of perceptual actions which exploit this device level controller.
James L. Crowley, Philippe Bobet, Mouafak Mesrabi
Int. J. Pattern Recognit. Artif. Intell.3
1992 Gaze Control for a Binocular Camera Head
James L. Crowley, Philippe Bobet, Mouafak Mesrabi
ECCV3