Difference between revisions of "Mathieu Labbe"
From IntRoLab
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* [[Image:Find_object.png|link=http://find-object.googlecode.com|48px|Find-Object]] Object detection using SURF/SIFT like features. | * [[Image:Find_object.png|link=http://find-object.googlecode.com|48px|Find-Object]] Object detection using SURF/SIFT like features. | ||
* [http://utilite.googlecode.com UtiLite] C++ utilities. | * [http://utilite.googlecode.com UtiLite] C++ utilities. | ||
− | * [https://code.google.com/p/fovis-pkg/ FOVIS ros pkg] | + | * [https://code.google.com/p/fovis-pkg/ FOVIS ros-pkg] ROS Wrapper of the Fovis library: a visual odometry approach using Kinect-like sensors. |
+ | * [https://code.google.com/p/vvindow/ VVindow] A virtual window project: Head tracking using a Kinect for Virtual Reality. | ||
+ | * [https://code.google.com/p/semolearning/ SeMoLearning] Graph-based Bayesian Sensorimotor Learning. | ||
Revision as of 19:18, 22 January 2013
Contents
Mathieu Labbé, M.Sc.A.
Coordonnées :
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Formation
- 2009-2010 Maîtrise en génie électrique, Université de Sherbrooke
- 2004-2008 Bac. en génie informatique, Université de Sherbrooke
Prix et distinctions
- Bourse de doctorat en recherche, FQRNT, 2011
- Bourse d'excellence de recherche en traitement d’images vidéo, Fondation de l'Université de Sherbrooke, 2010
- Bourse d'études supérieures BESC M, CRSNG, 2009
- Bourse Hydro-Québec, volet recrutement, Fondation de l'Université de Sherbrooke, 2009
- Attestations d'excellence scolaire, 2005-6-7-8
Intérêts
- Robotique mobile
- Cartographie et localisation simultanées (SLAM)
- Systèmes temps réel
- Apprentissage autonome
Projets
Logiciels "Open Source"
- Loop closure detection for Simultaneous Localization and Mapping (SLAM).
- Object detection using SURF/SIFT like features.
- UtiLite C++ utilities.
- FOVIS ros-pkg ROS Wrapper of the Fovis library: a visual odometry approach using Kinect-like sensors.
- VVindow A virtual window project: Head tracking using a Kinect for Virtual Reality.
- SeMoLearning Graph-based Bayesian Sensorimotor Learning.
Publications
- M. Labbé and F. Michaud, “Memory management for real-time appearance-based loop closure detection,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011, pp. 1271–1276. (pdf)
M. Labbé and F. Michaud, “Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation,” in IEEE Transactions on Robotics, *accepted, to appear in 2013*