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

• Preliminary Meeting: Jul. 13th, 4pm, in room: 01.07.023
• Registrations will be handled through the TUM Matching Platform.

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