webinar register page

IMA Data Science Seminar - Federica Arrigoni
Speaker: Federica Arrigoni
Title: Viewing graph solvability and its relevance in 3D Computer Vision
Abstract: “Structure from motion” is a relevant problem in Computer Vision that aims at reconstructing both cameras and the 3D scene starting from multiple images. This talk will explore the theoretical aspects of structure from motion with particular focus on the “viewing graph”: such a graph has a camera for each node and an edge for each available fundamental matrix. In particular, a relevant problem is studying the “solvability” of a viewing graph, namely establishing if it determines a unique configuration of cameras. The talk will be based on the following paper:
Federica Arrigoni, Andrea Fusiello, Elisa Ricci, and Tomas Pajdla. Viewing graph solvability via cycle consistency. ICCV 2021 (Best paper honorable mention)

Mar 28, 2023 01:25 PM in Central Time (US and Canada)

* Required information


Federica Arrigoni
Assistant Professor @Politecnico di Milano
Federica Arrigoni is a tenure-track assistant professor with the Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB) of the Politecnico di Milano. She received the MS degree in Mathematics from the University of Milan (Italy) in 2013, and the PhD degree in Industrial and Information Engineering from the University of Udine (Italy) in 2018. Her PhD thesis was awarded from the Italian Association for Computer Vision, Pattern Recognition and Machine Learning (CVPL) in 2018 and from the University of Udine in 2019. From 2018 to 2020 she was a junior researcher with the Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC) of the Czech Technical University in Prague (Czech Republic). From 2020 to 2022 she worked as an assistant professor with the Department of Information Engineering and Computer Science of the University of Trento (Italy).