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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Seminar: An Overview of Methods for Accurate Geometry Reconstruction

Seminar for computer science, games engineering and computational science and engineering (CSE) master students (IN2107).

General

Reconstruction of 3D geometry has always been a central application in Computer Vision research. This seminar will give an overview of the broad range of methods that can be applied to retrieve geometric information from sensor data. The focus will be on methods that are able to reconstruct geometry with a high level of detail. The approaches we look at range from shape-from-shading and photometric stereo to surface reconstruction from point cloud data. We will cover both classical approaches, such as variational methods or differential equations, and newer methods from the field of Deep Learning.

Organization

General
  • Organizers: Lu Sang, Mohammed Brahimi
  • Email: 3dgeometry-ws21@vision.in.tum.de (please address all requests to this address only!)
  • If you are accepted to the seminar in the matching system, you can expect to get more information from us by mid-August. Please do not contact us before!
Pre-meeting

Pre-meeting will be online via BBB at 14:00 pm on 12.07.2021, the meeting link can be found in TUM online.

Matching

All information on the matching system and process can be found here.

Material

All information as well as the slides from the pre-meeting can be found here (password protected). The password is distributed during the preliminary meeting.

Block Meetings
  • Day: 04-05.10.2021
  • Time: 4-5 talks per day.
  • Location: the seminar will be held on BBB, please find the link in material the page.
  • All talks are held in English.

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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