5 months – Master 2 Research Internship. Host: STORM research group, CNRS, IRIT, Toulouse. Supervision team: Nicolas Mellado (IRIT), Nicolas Dobigeon (IRIT), Claire Marais-Sicre (CESBIO), Carine Calastrenc (TRACES)Contact: nicolas.mellado AT irit.fr Context Actuellement, les archéologues qui travaillent en haute montagne et cherchent à étudier les évolutions des modes de gestion
6 months – Master 2 Internship. STORM research group, CNRS, IRIT, Toulouse. Contact: nicolas.mellado AT irit.fr Context 3D point clouds are now ubiquitous thanks to the development of surface acquisition technologies (e.g. LiDAR, stereovision, photogrammetry). Modern acquisition techniques produce point clouds mades of billions of samples. This massive amount of
6 months – Master 2 Research Internship. STORM research group, CNRS, IRIT, Toulouse. Contact: nicolas.mellado AT irit.frPhD opportunity at the end of the internship. Context Some decades ago, the advent of digital photography led to the formation and development of dedicated research fields (e.g., image processing, pattern recognition, computer vision),
6 months – Master 2 Research Internship.Yellowscan, MontpellierContact: pol.kennel AT yellowscan-lidar.comPhD opportunity at the end of the internship. Context YellowScan designs, develops, and produces mapping sensors for professional UAV (unmanned arial vehicle) applications. Fully integrated, ultra-light and easy to use, these highly automated lidar (light detection and ranging) sensors are
6 months – Master 2 Research Internship. STORM research group, CNRS, IRIT, Toulouse. Contact: nicolas.mellado AT irit.fr Context The company YelloScan design, develop and manufacture UAV LiDAR systems for professional applications. Fully integrated, ultra-light and easy to use, these highly automated data collection tools are employed by customers around the
Research internship: holes detection in point clouds using computational topology (job offer closed)
6 months – Master 2 Research Internship. STORM research group, CNRS, IRIT, Toulouse. Contact: nicolas.mellado AT irit.fr Context Point clouds are a type of unstructured data that is widely present in the field of computer graphics. They are notably produced by techniques of surface acquisition such as photogrammetry or LiDAR.