Ezio Malis mainly focuses on Computer vision, Artificial intelligence, Visual servoing, Robustness and Rate of convergence. His study in Computer vision is interdisciplinary in nature, drawing from both Robot control and Mobile robot. Ezio Malis has included themes like Stability and Robust control in his Visual servoing study.
His Stability study integrates concerns from other disciplines, such as Robot and Homography. His work in Robustness addresses subjects such as Camera resectioning, which are connected to disciplines such as Image based, Image sensor and Robotic systems. The concepts of his Rate of convergence study are interwoven with issues in Computation and Mathematical optimization, Minification.
His primary scientific interests are in Artificial intelligence, Computer vision, Visual servoing, Robustness and Robot. His work in the fields of Artificial intelligence, such as Robot control, Image and Image sensor, overlaps with other areas such as Homography and Position. His Robot control research is multidisciplinary, incorporating perspectives in Homography, Vision based and Feature.
His study focuses on the intersection of Computer vision and fields such as Mobile robot with connections in the field of Ego motion estimation and Image warping. His Visual servoing research is multidisciplinary, relying on both Stability, Object and Robust control. His Robustness research incorporates themes from Pixel, Image based, Robot calibration and Image registration.
Ezio Malis mostly deals with Artificial intelligence, Computer vision, Visual servoing, Robustness and Pixel. His Artificial intelligence study frequently draws connections between adjacent fields such as Calibration. His primary area of study in Computer vision is in the field of Image registration.
His Visual servoing research incorporates elements of Observer, Observability and Homography. Ezio Malis performs integrative study on Robustness and Time of flight. He combines subjects such as Motion estimation, Camera auto-calibration, Camera resectioning and Image sensor with his study of Obstacle avoidance.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Robustness, Iterative closest point and Catadioptric system. His specific area of interest is Computer vision, where he studies Fundamental matrix. Ezio Malis has included themes like Grayscale, Image warping, Pose, Stereo camera and Visual odometry in his Fundamental matrix study.
His study in Visual odometry is interdisciplinary in nature, drawing from both Computer stereo vision and Stereo cameras. The study incorporates disciplines such as Control system, Robust control, Image based and Visual control in addition to Catadioptric system. His multidisciplinary approach integrates Always true and Visual servoing in his work.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
2 1/2 D visual servoing
E. Malis;F. Chaumette;S. Boudet.
international conference on robotics and automation (1999)
2 1/2 D visual servoing
E. Malis;F. Chaumette;S. Boudet.
international conference on robotics and automation (1999)
Real-time image-based tracking of planes using efficient second-order minimization
S. Benhimane;E. Malis.
intelligent robots and systems (2004)
Real-time image-based tracking of planes using efficient second-order minimization
S. Benhimane;E. Malis.
intelligent robots and systems (2004)
Homography-based 2D Visual Tracking and Servoing
S. Benhimane;E. Malis.
The International Journal of Robotics Research (2007)
Homography-based 2D Visual Tracking and Servoing
S. Benhimane;E. Malis.
The International Journal of Robotics Research (2007)
Improving vision-based control using efficient second-order minimization techniques
E. Malis.
international conference on robotics and automation (2004)
Improving vision-based control using efficient second-order minimization techniques
E. Malis.
international conference on robotics and automation (2004)
2 1/2 D Visual Servoing with Respect to Unknown Objects Through a New Estimation Scheme of Camera Displacement
Ezio Malis;François Chaumette.
International Journal of Computer Vision (2000)
2 1/2 D Visual Servoing with Respect to Unknown Objects Through a New Estimation Scheme of Camera Displacement
Ezio Malis;François Chaumette.
International Journal of Computer Vision (2000)
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French Institute for Research in Computer Science and Automation - INRIA
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Publications: 23
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