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TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Seminar: Shape Analysis and Optimization

Seminar for computer science and mathematics master students (IN2107).

The seminar does not start on Oct 17th! Only the dates filled with names in the time sheet will be meetings.

Description

Three­-dimensional data has been used for decades in computer science. Nevertheless, methods for the automatic analysis, recognition, categorization and comparison of 3D objects have become an active field of research only recently. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to investigate methods for automatic retrieval and analysis of 3D models. The course will touch upon the most recent advances in the field. Particular emphasis will be put on defining and computing similarity between shapes, when these shapes are allowed to undergo non­rigid deformations (e.g. different poses of a human model) and different optimization techniques to obtain good and efficient solutions.


Point Descriptor Learning
Point Descriptor Learning

Shape Descriptors
Shape Descriptors


Organization

General
Pre-meeting
  • Date: Thursday, June 28, 2018
  • Time: 16:00 - 17:00
  • Location: 02.09.023
  • Attendance of the pre-meeting is important to be eligible for the seminar!
  • Please contact us in advance if you are not able to attend the pre-meeting.
Registration
  • Registration is done via the TUM matching platform for computer science students and via TUMonline for mathematics students.
  • Registration deadline is July 4, 2018.
  • Attendance is mandatory and the weekly meeting time (see below) will not be changed, so please do not register if it clashes with another lecture you will attend.
  • Further information about registration and criteria for selection of participants will be given in the pre-meeting.
Weekly Meetings
  • Day: Wednesday
  • Time: 14:00 - 16:00
  • Start: TBA
  • Each week there will be two talks.
  • All talks are held in English.

Final Report

Final reports should be written in LaTeX using the provided template: Report template.

Material

The list of topics and slides of the premeeting can be found here.

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

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