TeachingWs18SeminarFCV

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Seminar: Foundations of Computer Vision

Prof. Nassir Navab, Dr. Federico Tombari, Fabian Manhardt, Johanna Wald

Type: Seminar Module IN0014
SWS: 2+0
ECTS: 5 Credits
Location: CAMP Seminar Room, 03.13.010
Time:
Course Language: English

Announcements

Introduction

  • The Seminar Course concerns fundamental methods in the field of Computer Vision. The Seminar will propose a list of scientific articles related to the fundamental research topics of Computer Vision, such as keypoint detection, segmentation, 3D object detection, image classification, camera calibration and optical flow.

Registration

Requirements

In this Master Seminar (formerly Hauptseminar), each student is asked to select one paper from a list. In order to successfully complete the seminar, participants have to fulfill these requirements:

  • Presentation: The selected paper is presented to the other participants (20 minutes presentation 10 minutes questions). Use the CAMP templates for PowerPoint camp-tum-slides.zip, or Latex: LaTeX_presentation_template.zip.
  • Written Report: A document of maximum 8 pages is written and submitted one week after the presentation. Please download and use the report_template.zip Latex template.
  • Attendance: Participants have to participate actively in all seminar sessions.

The students are required to attend each seminar presentation which will be held during this course. Each presentation is followed by a discussion and everyone is encouraged to actively participate. The report must include all references used and must be written completely in your own words. Copy and paste will not be tolerated. Both report and presentation have to be done in English.

List of Topics and Material

A list of papers will be announced here.

TeachingForm
Title: Foundations of Computer Vision
Professor: Prof. Nassir Navab; Dr. Federico Tombari
Tutors: Fabian Manhardt; Johanna Wald
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 5
Term: 2018WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 21 Jun 2018 - 09:01 - FabianManhardt

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