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The 56th meeting of the Prague computer science seminar

Torsten Sattler

Machine Learning for Three-Dimensional Reconstruction and Visual Localization

Reconstructing objects and scenes from a set of images (the 3D reconstruction problem), as well as estimating the position and orientation from which images were taken (the visual localization problem), are fundamental problems in computer vision, with applications in autonomous driving, augmented reality and robotics, among others.

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December 14, 2023

4:15pm

Auditorium S5, MFF UK
Malostranské nám. 25, Praha 1
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Reconstructing objects and scenes from a set of images (the 3D reconstruction problem), as well as estimating the position and orientation from which images were taken (the visual localization problem), are fundamental problems in computer vision, with applications in autonomous driving, augmented reality and robotics, among others. In this talk, we will discuss recent advances in both 3D reconstruction and visual localization that have been made possible through machine learning.

Starting with the 3D reconstruction problem, this talk will first discuss recent state-of-the-art algorithms to produce (close-to) photorealistic scene representation by estimating so-called neural radiance fields. The second part of the talk will focus on the visual localization problem. In particular, we will discuss using accurate (and less-accurate) 3D models to allow robust camera position and orientation estimation. In addition, we will discuss privacy aspects of the visual localization problem.

Torsten Sattler

Torsten Sattler is a Senior Researcher at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) at the Czech Technical University (CTU) in Prague, where he is currently building up his own research group working on 3D computer vision and machine learning. Before, he was a tenured Associate Professor at Chalmers University of Technology in Gothenburg, Sweden, after 5 years at ETH Zurich, Switzerland, first as a PostDoc and later as a Senior Researcher. He obtained his PhD from RWTH Aachen University in Germany. He is actively involved in the computer vision community, organizing workshops, tutorials and conferences (he is currently a program chair for the European Conference on Computer Vision 2024). His research focuses around developing robust and reliable 3D computer vision algorithms for applications such as Mixed Reality, Self-Driving Cars, and Robotics. To this end, he works on integrating higher-level scene understanding into techniques such as visual localization and mapping. Torsten is named as one of the top-10 Computer Science researchers in the Czech Republic by research.com.

Its program consists of a one-hour lecture followed by a discussion. The lecture is based on an (internationally) exceptional or remarkable achievement of the lecturer, presented in a way which is comprehensible and interesting to a broad computer science community. The lectures are in English.

The seminar is organized by the organizational committee consisting of Roman Barták (Charles University, Faculty of Mathematics and Physics), Jaroslav Hlinka (Czech Academy of Sciences, Computer Science Institute), Michal Chytil, Pavel Kordík (CTU in Prague, Faculty of Information Technologies), Michal Koucký (Charles University, Faculty of Mathematics and Physics), Jan Kybic (CTU in Prague, Faculty of Electrical Engineering), Michal Pěchouček (CTU in Prague, Faculty of Electrical Engineering), Jiří Sgall (Charles University, Faculty of Mathematics and Physics), Vojtěch Svátek (University of Economics, Faculty of Informatics and Statistics), Michal Šorel (Czech Academy of Sciences, Institute of Information Theory and Automation), Tomáš Werner (CTU in Prague, Faculty of Electrical Engineering), and Filip Železný (CTU in Prague, Faculty of Electrical Engineering)

The idea to organize this seminar emerged in discussions of the representatives of several research institutes on how to avoid the undesired fragmentation of the Czech computer science community.