EDBT 2026 Demo / reviewers in the wild / expert
Mouafak Mesrabi
dblp:92/6522
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
active vision |
0.0 | 1 | 1992 | Gaze Control for a Binocular Camera Head · ECCV 1992 |
Robotics › Robot navigation and mapping › active vision
gaze control |
0.0 | 1 | 1992 | Gaze Control for a Binocular Camera Head · ECCV 1992 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Comparison of kinematic and visual servoing for fixationabstractThis 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 HeadabstractThis 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 |
ECCV | 3 |