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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.

Paper Video

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.

Paper Poster

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.

Paper Supplementary material Slides

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).

PhD Thesis

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.