TeachingWs16SeminarFCV

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

Seminar: Foundations of Computer Vision

Prof. Nassir Navab, Federico Tombari
Type: Seminar
SWS: 2+0
ECTS: 4 Credits
Location: Seminarraum (5613.03.010)
Time: 16:00-18:00
Course Language: English

This class is open for Masters and Bachelors students.

Announcements

  • Register using the TumOnline? Matching Tool.

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.

Requirements

In this Seminar, 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 (25 minutes presentation, 15 minutes questions). Use the CAMP templates for PowerPoint CAMPmaster.pot, or Latex: CAMP-latex-template.zip.
  • Written Handout: A document of maximum 8 pages is written and submitted one week after the presentation. Please download and use the llncs2e.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 handout must include all references used and must be written completely in your own words. Copy and paste will not be tolerated. Both handout and presentation have to be done in English.

Schedule

Each registered student is required to attend all presentations.

Date Time Room Presentor Topic
23.11.2016 16:00-18:00 Seminarraum
5613.03.010
Federico T. Introduction to the seminar,
discussion with tutors.
30.11.2016 16:00-18:00 Seminarraum
5613.03.010
Wassim G.
Shuwei H.
Image Classification
Image Classification
14.12.2016 16:00-18:00 Seminarraum
5613.03.010
Marat S.
Aleksandar B.
José S.
Object Detection
Segmentation and Tracking
Human Pose
11.01.2017 16:00-18:00 Seminarraum
5613.03.010
Ralitsa D.
Krishen K.
Ivana J.
Reconstruction
Face Detection
Image Filtering
25.01.2017 16:00-18:00 Seminarraum
5613.03.010
Karen R. Keypoints and Features



List of Topics

The list of papers from which each student can choose is the following:

  • Taken: Ivana Jovanovic / Tutor: Federico Tombari — (image filtering) C. Tomasi, R. Manduchi, “Bilateral filtering for gray and color images”, ICCV 1998

  • (optical flow) B. D. Lucas, T. Kanade, “An iterative image registration technique with an application to stereo vision”, Imaging Understanding Workshop, 1981

  • (calibration) Z. Zhang, “A flexible new technique for camera calibration”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334, 2000

  • (keypoints and features) D.G. Lowe, "Distinctive image features from scale-invariant keypoints", International Journal of Computer Vision, 2004

  • Taken: Karen R. / Tutor: Federico Tombari — (keypoints and features) N. Dalal, B. Triggs, “HoG for Human Detection”, Computer Vision and Pattern Recognition, 2005

  • Taken: Marat Serahlazau / Tutor: Iro Laina — (object detection) P.F. Felzenszwalb, R.B. Girshick, D. McAllester?, D. Ramanan, “Object Detection with Discriminatively Trained Part Based Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010

  • Taken: Aleksandar Buha / Tutor: Huseyin Coskun — (segmentation and tracking) D. Comaniciu, P. Meer, "Mean Shift: A Robust Approach Toward Feature Space Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002

  • Taken: Wassim Gabriel / Tutor: David Tan — (image classification) Nister, Stewenius, “Scalable Recognition with a Vocabulary Tree”, CVPR 2006

  • Taken: Shuwei Hu / Tutor: Huseyin Coskun — (image classification) B. Leibe, A. Leonardis, B. Schiele, “Robust Object Detection by Interleaving Categorization and Segmentation”, International Journal of Computer Vision, 2008

  • Taken: Krishen Kant Kandwal / Tutor: Iro Laina — (face detection) P. Viola, M. Jones, “Rapid object detection using a boosted cascade of simple features”, CVPR 2001

  • Taken: José Pedro Santos / Tutor: David Tan — (human pose) J. Shotton et al., "Real-Time Human Pose Recognition in Parts from a Single Depth Image", CVPR 2011

  • Taken: Ralitsa Dimitrova / Tutor: Keisuke Tateno — (reconstruction) R. Newcombe et al., "KinectFusion: Real-Time Dense Surface Mapping and Tracking", ISMAR 2011


TeachingForm
Title: Foundations of Computer Vision
Professor: Prof. Nassir Navab
Tutors: Federico Tombari; Iro Laina
Type: Hauptseminar
Information: tba
Term: 2016WiSe
Abstract:  


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