Prof. Nassir Navab
3D Computer Vision
, Federico Tombari, Vasileios Belagiannis
, Felix Achilles
, Wadim Kehl
, Benjamin Busam
Advanced Seminar Course Module IN8901
Master Seminar Module IN2107
Seminar Module IN0014
Location: MI 03.13.010
- [3.11.2014] The list of papers has been published
- [16.10.2014] If interested, please register here to the course
- [16.10.2014] Initial meeting will be held on Tuesday, 04.11.2014, in MI 03.13.010 from 15:00 to 16:00.
- [16.10.2014] The list of papers will be online one day before the initial meeting.
- 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.
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 (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
List of Topics and Material
The list of papers is the following:
- (features, detection) J. Sun, M. Ovsjanikov, L. Guibas, “A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion”, Comput. Graph. Forum, Vol. 28:5, pages 1383-1392, 2009
- (features, detection) F. Tombari, S. Salti, L. Di Stefano, “Unique signatures of Histograms for local surface description”, ECCV 2010
- (3D/RGBD object recognition and classification) M. Blum, J.T. Springenberg, J. Wulfing, M. Riedmiller, “A Learned Feature Descriptor for Object Recognition in RGB-D Data”, ICRA 2012
- (3D/RGBD object recognition and classification) R. Socher, B. Huval, B. Bhat, C.D. Manning, A.Y. Ng, “Convolutional-Recursive Deep Learning for 3D Object Classification”, NIPS 2012
- (3D semantic segmentation) D. Munoz, J. A. Bagnell, N. Vandapel, M. Hebert , “Contextual Classification with Functional Max-Margin Markov Networks”, CVPR 2009
- (3D reconstruction) Newcombe et al., “KinectFusion: Real-Time Dense Surface Mapping and Tracking”, ISMAR 2011
- (point cloud registration) Segal, Haehnel, Thrun, “Generalized-ICP”, RSS 2005
- (stereo vision) C. Rhemann, A. Hosni, M. Bleyer, C. Rother, M. Gelautz, “Fast cost-volume filtering for visual correspondence and beyond”, CVPR 2011
- (3D human pose estimation) J. Shotton et al., “Real-time human pose recognition in parts from single depth images”, CVPR 2011
- (3D human pose estimation) S. Li, A. Chan, “3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network”, ACCV 2014
The slides for the introductory meeting are available here
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.