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portfolio
publications
Package Delivery Experiments with a Camera Drone
Published in Austrian Robotics Workshop, 2017
Jesus Pestana Puerta, Michael Maurer, Daniel Muschick, Devesh Adlakha, Horst Bischof, Friedrich Fraundorfer.
QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge
Published in IEEE International Conference on Computer Vision (ICCV), 2019
Devesh Adlakha, Adlane Habed, Fabio Morbidi, Cédric Demonceaux, Michel de Mathelin.
Stratified Autocalibration of Cameras with Euclidean Image Plane
Published in British Machine Vision Conference (BMVC), 2020
Devesh Adlakha, Adlane Habed, Fabio Morbidi, Cédric Demonceaux, Michel de Mathelin.
Exploiting Partial Camera Motion and Geometry Knowledge in Uncalibrated 3D Vision
Published in University of Strasbourg, 2022
Advisors: Adlane Habed, Michel de Mathelin (University of Strasbourg), Fabio Morbidi (University of Picardie Jules Verne), and Cédric Demonceaux (University of Burgundy).
Committee: Andrea Fusiello (University of Udine), Pascal Monasse (ENPC Paris), Peter Sturm (Inria Grenoble), and Pascal Vasseur (University of Picardie Jules Verne).
talks
teaching
2018
Camera Autocalibration (M1 Spring Semester)
8h course consisting of lectures (4h) and lab sessions (4h).
Course material from Adlane Habed.
2019
Camera Autocalibration (M1 Spring Semester)
16h course consisting of lectures (8h) and lab sessions (8h).
Introduced a more thorough review of projective and epipolar geometry as well as added more lab sessions compared to the previous year.
2020
Camera Autocalibration (M1 Spring Semester)
18h course consisting of lectures (8h) and lab sessions (10h).
2021
Multiple-View Geometry, Optical Flow, OpenCV (M1 Spring Semester)
96h in total consisting of lectures, exercises, and lab sessions. I was resposible for the Autonomous Robotics module.
Multiple-View Geometry: co-taught with David Fofi. I designed and evaluated lab sessions and paper presentations, and delivered part of the lectures.
Optical Flow: lectures, exercises, and lab sessions. Course material from Yannick Benezeth.
OpenCV: project.
