TeachingWs15RT3DCV

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

Hauptseminar/Master Seminar:
Recent Trends in 3D Computer Vision

Prof. Nassir Navab, Federico Tombari, Christian Rupprecht, Felix Achilles, Wadim Kehl, Benjamin Busam

Type: Advanced Seminar Course Module IN8901
Type: Master Seminar Module IN2107
Type: Seminar Module IN0014
SWS: 2+0
ECTS: 4 Credits
Location: Seminar room 03.13.010
Time: 15:00 - 17:00
Course Language: English

Announcements

  • Next session (12.11.2015) will be held in 01.13.010
  • The slides of the introductory meeting can be found here.
  • An introductory meeting was held on July 9th 2015, 1:30pm in 03.13.010

Introduction

  • The Seminar Course concerns recent advances in the field of 3D Computer Vision. The Seminar will propose a list of recent scientific articles related to the main current research topics of 3D Computer Vision, such as 3D keypoint detection, 3D features, point cloud registration, 3D object recognition and classification, SLAM and stereo vision.

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-jhu-slides.zip, or Latex: CAMP-latex-template.zip.
  • Written Report: 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 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

The list of papers:

Authors Title Conference/Journal Tutor Student
Zollhöfer, Michael, et al. Real-time Non-rigid Reconstruction using an RGB-D Camera SIGGRAPH 2014 Mira Hasnain Rehman Gondal
Dou, M., Taylor, J., Fuchs, H., Fitzgibbon, A., & Izadi, S. 3D Scanning Deformable Objects with a Single RGBD Sensor CVPR 2015 Mira Michael Gutbrod
Newcombe, R. A., Fox, D., & Seitz, S. M. DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time CVPR 2015 Mira Arslan Ali Syed
David Eigen, Rob Fergus Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture arXiv 2014 Benjamin Christoph Baur
Jure Zbontar, Yann LeCun Computing the Stereo Matching Cost with a Convolutional Neural Network CVPR 2015 Benjamin Markus Herb
Paul Wohlhart and Vincent Lepetit Learning Descriptors for Object Recognition and 3D Pose Estimation CVPR 2015 Wadim Sara Hajmohammadalitorkabadi
Saurabh Gupta, Ross Girshick, Pablo Arbelaez, and Jitendra Malik Learning Rich Features from RGB-D Images for Object Detection and Segmentation ECCV 2014 Wadim Johannes Rausch
C. Qian, X. Sun, Y. Wei, X. Tang, J. Sun Realtime and Robust Hand Tracking from Depth CVPR 2014 Paul Matthias Grimm
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang and J. Xiao 3D ShapeNets: A Deep Representation for Volumetric Shape Modeling CVPR 2015 Christian Mahdi Saleh
R. Socher, B. Huval, B. Bhat, C.D. Manning, A.Y. Ng Convolutional-Recursive Deep Learning for 3D Object Classification NIPS 2012 Leslie Leonhard Rauh
Ho Yub Jung, Soochahn Lee, Yong Seok Heo, Il Dong Yun Random Tree Walk toward Instantaneous 3D Human Pose Estimation CVPR 2015 Paul Dominik Gutermuth
Li, Sijin, and Antoni B. Chan 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network ACCV 2014 Christian Andreas Meißner
J. Valentin, V. Vineet, M.-M. Cheng, D. Kim, J. Shotton, P. Kohli, M. Niessner, A. Criminisi, S. Izadi, P. Torr SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips SIGGRAPH 2015 Keisuke Adam Kosiorek
J.Shotton, B.Glocker, C.Zach, S.Izadi, A.Criminisi, A.Fitzgibbon Scene coordinate regression forests for camera relocalization in RGB-D images CVPR 2013 David Sergey Zakharov
T.-J. Chin, P. Purkait, A. Eriksson, D. Suter Efficient Globally Optimal Consensus Maximisation with Tree Search CVPR 2015 Tolga Homa Rasouli

Schedule

This is the final schedule for the course. Each registered student is required to attend all presentations. All lectures take place in Seminarraum 03.13.010.

Date Time Topic Speaker Material
October 29th 15:00 Random Tree Walk toward Instantaneous 3D Human Pose Estimation Dominik Gutermuth  
October 29th 15:30 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network Andreas Meißner  
October 29th 16:00 Convolutional-Recursive Deep Learning for 3D Object Classification Leonhard Rauh  
November 12th 15:00 3D Scanning Deformable Objects with a Single RGBD Sensor Michael Gutbrod  
November 12th 15:30 3D ShapeNets: A Deep Representation for Volumetric Shape Modeling Mahdi Saleh  
November 12th 16:00 Computing the Stereo Matching Cost with a Convolutional Neural Network Markus Herb Report
Presentation
November 19th 15:00 Learning Descriptors for Object Recognition and 3D Pose Estimation Sara Hajmohammadalitorkabadi  
November 19th 15:30 DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time Arslan Ali Syed  
November 19th 16:00 Learning Rich Features from RGB-D Images for Object Detection and Segmentation Johannes Rausch  
December 3rd 15:00 Real-time Non-rigid Reconstruction using an RGB-D Camera Hasnain Rehman Gondal  
December 3rd 15:30 Efficient Globally Optimal Consensus Maximisation with Tree Search Homa Rasouli  
December 3rd 16:00 Scene coordinate regression forests for camera relocalization in RGB-D images Sergey Zakharov  
December 10th 15:00 Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture Christoph Baur Report
Presentation
December 10th 15:30 Realtime and Robust Hand Tracking from Depth Matthias Grimm  
December 10th 16:00 SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips Adam Kosiorek  


TeachingForm
Title: Recent Trends in 3D Computer Vision
Professor: Prof. Nassir Navab
Tutors: Federico Tombari, Christian Rupprecht, Maximilian Baust
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 4
Term: 2015WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.44 - 08 Jan 2016 - 11:23 - BenjaminBusam

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