TeachingWs17SeminarFCV

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: Thursday 2.pm - 3.30pm
Course Language: English

Announcements

  • Jul 14: Here you can find the slides for the introductory meeting.
  • Aug 5: Assigned each paper to a student in the table underneath.

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.

Nr Authors Title Conference Link Tutor Student
1 C. Harris and M. Stephens A Combined Corner And Edge Detector Alvey vision conference, 1988 link Fabian Manhardt Dorota Gaska
2.1 B.D. Lucas and T. Kanade An iterative image registration technique with an application to stereo vision Proceedings of Imaging Understanding Workshop, 1981 link Nikolas Brasch Marcel Schmitt
2.2 J. Shi and C. Tomasi Good features to track CVPR, 1994 link Nikolas Brasch Marcel Schmitt
3 D.G. Lowe Distinctive Image Features from Scale-Invariant Keypoints IJCV, 2004 link Hasan Serhan Lilian Held
4 J. Sivic and A. Zisserman Video Google: A Text Retrieval Approach to Object Matching in Videos ICCV, 2003 link Beatrice Lentes Florian Fischer
5 D. Comaniciu and P. Meer Mean Shift: A Robust Approach towards Feature Space Analysis TPAMI, 2002 link Huseyin Coskun Leon Wenning
6 Y. Boykov, O. Veksler and R. Zabih Fast Approximate Energy Minimization via Graph Cuts TPAMI, 2001 link Yida Wang Felix Wechsler
7 J. Shotton et al. Real-Time Human Pose Recognition in Parts from Single Depth Images Communications of the ACM, 2011 link Johanna Wald Stefan Su
8 P. Viola and M. Jones Rapid object detection using a boosted cascade of simple features CVPR, 2001 link Johanna Wald Mina E Saad
9 A.J. Davison et al. MonoSLAM?: Real-Time Single Camera SLAM TPAMI, 2007 link Jakob Mayr Sarah Di Mango
10 R.A. Newcombe et al. KinectFusion?: Real-Time Dense Surface Mapping and Tracking ISMAR, 2011 link Helisa Dhamo Kirill Martynov
11 Y. LeCun? et al. Gradient-Based Learning Applied to Document Recognition Proceeding of the IEEE, 1998 link Iro Laina Panagiotis Tzannetos
12 A. Krizhevsky et al. ImageNet? Classification with Deep Convolutional Neural Networks Advances in neural information processing systems, 2012 link Fabian Manhardt Tim M. Wägemans

Schedule

The schedule for the paper presentations will be announced here during the semester. Each student is required to attend all presentations.

Date Time Place Speaker Topic Material
Do 19.10.2017 14:00 - 15:30 3.13.010, Seminarraum Dorota Gaska

Marcel Schmitt
Feature Detection  
Do 02.11.2017 14:00 - 15:30 3.13.010, Seminarraum Lilian Held

Florian Fischer
Feature Description and Tracking  
Do 16.11.2017 14:00 - 15:30 3.13.010, Seminarraum Leon Wenning

Felix Wechsler
Image Segmentation  
Do 30.11.2017 14:00 - 15:30 3.13.010, Seminarraum Stefan Su

Mina E Saad
Human Face Detection and Pose Estimation  
Do 14.12.2017 14:00 - 15:30 3.13.010, Seminarraum Sarah Di Mango

Kirill Martynov
SLAM and 3D Reconstruction  
Do 11.01.2018 14:00 - 15:30 3.13.010, Seminarraum Panagiotis Tzannetos

Tim M. Wägemans
Deep Learning  
Do 25.01.2018 14:00 - 15:30 3.13.010, Seminarraum     backup
Do 08.02.2018 14:00 - 15:30 3.13.010, Seminarraum     backup



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: 2017WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.20 - 08 Nov 2017 - 15:24 - JohannaWald

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