Seminar: Hot Topics in Image Analysis
Dr. Simon Setzer,
Oliver Demetz
Summer Term 2012
Seminar (2 hours)
News: Our meeting room has changed! From Wednesday, June 6th, on we meet in building E1.7 (MMCI), room 4.10.
Notice for bachelor/master students of mathematics:
This is a »Hauptseminar« in the sense of these study programs.
Image copyright by L. Boissieux, INRIA
Important Dates –
Description –
Registration –
Requirements –
Overview of Topics
First regular meeting:
Wednesday, May 2, 2012, 16:15h, Building E1.1, Room 306
Registration period:
From Wednesday, February 1, 2012, 12:00h
to Tuesday, February 7, 2012, 12:00h
Regular meetings during the summer term 2012:
New room: Wednesday, 16:15h, Building E1.7, Room 4.10
Date of first regular meeting:
Wednesday, May 02, 2012
Last meeting:
Wednesday, July 04, 2012
Contents:
There has been enormous progress in image processing, computer vision and related areas in recent years. Both the quality of the algorithms and the capabilities of the hardware have improved significantly. In this seminar the participants learn more about recent techniques published at leading conferences and journals in the field.
The topics include but are not limited to image acquisition, image denoising and inpainting, sparse data representation, computer vision, optic flow and 3-D reconstruction.
Prerequisites:
The seminar is for advanced bachelor or master
students in Visual Computing, Mathematics or Computer Science. Basic
mathematical knowledge (e.g. Mathematik für Informatiker I-III) is required,
and some knowledge in image processing is recommended.
Language:
All papers are written in English, and English is the preferred language of presentation.
There are no more places left so registration is closed.
Regular attendance:
It is expected that you attend all seminar meetings, except for provable
important reasons (we check).
Talk:
Talk duration is 30 min, plus 15 min for discussion. Please do not
deviate from this time schedule.
You may give a presentation using a data projector («beamer«),
overhead projector or blackboard, or mix these media appropriately.
Your presentation should be delivered in English. Your slides and your write-up, too, should be in English.
Write-up:
The write-up has to be handed in no later than
three weeks after the end of the lecturing period, i.e. Friday, August 17, 12:00h.
The write-up should summarise your talk, about 5 pages per speaker
will be adequate in most cases.
Electronic submission is preferred. File format for electronic
submissions is PDF – text processor files (like .doc) are not acceptable.
Adhere to the standards of scientific referencing: Quotations and copied
material (such as images) must be clearly marked as such, and a bibliography
is required.
Mandatory consultation:
Talk preparation has to be presented to your seminar supervisor no later than
one week before the talk is given.
It is your responsibility to approach us timely and make your appointment!
No-shows:
In case you do not appear to your scheduled talk, we reserve the right to exclude you from all future seminars of our group.
Date
| Speaker
|
Supervisor
|
Paper
|
02.05. |
M. Bromberger |
S. Setzer |
A. Orzan, A. Bousseau, H. Winnemoeller, P. Barla, J. Thollot, D. Salesin
Diffusion Curves: A Vector Representation for Smooth-Shaded Images
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2008), Vol. 27, 2008
|
02.05. |
J. Steil |
S. Setzer |
C. Schmaltz, P. Gwosdek, J. Weickert
Multi-Class Electrostatic Halftoning
Technical Report No. 301, Department of Mathematics, Saarland University, Saarbrücken, Germany, Oct. 2011
|
09.05. |
I. P. Sandrala |
O. Demetz |
X. Huang, G. Hua, J. Tumblin, L. Williams
What Characterizes a Shadow Boundary under the Sun and Sky?
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
slides
|
09.05. |
H. Sattar |
S. Setzer |
A. Kirmani, T. Hutchison, J. Davis, R. Raskar
Looking around the Corner Transient Imaging
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
|
16.05. |
M. Schmidt |
O. Demetz |
H. C. Burger, S. Harmeling
Improving Denoising Algorithms via a Multi-scale Meta-procedure
Pattern Recognition, Lecture Notes in Computer Science, Vol. 6835, pp. 206-215, 2011
|
16.05. |
M. Schwinn |
S. Setzer |
B. Goldluecke, D. Cremers
Introducing Total Curvature for Image Processing
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
|
23.05. |
H. Xiao |
S. Setzer |
J.L. Starck, M. Elad, D. Donoho
Image Decomposition via the combination of sparse representations and a variational approach
IEEE Transactions on Image Processing 2005 Vol. 14, pp. 1570-1582
|
23.05. |
R. Xu |
S. Setzer |
W. Guo, W. Yin
Edge Guided Reconstruction for Compressive Imaging
Rice University CAAM Technical Report TR11-07, submitted to SIAM Journal on Imaging Sciences, 2011.
|
30.05. |
S. T. Mawcha |
S. Setzer |
J. Mairal, F. Bach, J. Ponce, G. Sapiro, A. Zisserman
Non-Local Sparse Models for Image Restoration
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2009), Kyoto, Japan, Sept./Oct. 2009, pp. 2272-2279
|
30.05. |
S. K. Khangura |
S. Setzer |
Z. Guo, S. Osher
Template Matching via L1-Minimisation and its Applications to Hyperspectral Data
UCLA Technical Report CAM 09-103, May 2010
|
06.06. |
T. Schneevoigt |
O. Demetz |
P. Ochs, T. Brox
Object Segmentation in Video: A Hierarchical Variational Approach for turning point trajectories into dense regions
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
|
06.06. |
H. Du |
S. Setzer |
J. Ye, C. Bresson, T. Goldstein, S. Osher
A Fast Variational Method for Surface Reconstruction from Sets of Scattered Points
UCLA Technical Report CAM 10-01, Jan. 2010
|
13.06. |
L. Kaufhold |
O. Demetz |
K. Jia, X. Wang, X. Tang
Optical Flow Estimation using Learned Sparse Model
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
|
20.06. |
M. Omran |
O. Demetz |
D. Sun, E.B. Sudderth, M.J. Black
Layered Image Motion with Explicit Occlusions, Temporal Consistency, and Depth Ordering
Advances in Neural Information Processing Systems 23 (NIPS 2010), pp. 2226-2234,2010
|
20.06. |
M. Neu-Weigand |
O. Demetz |
S. Volz, A. Bruhn, L. Valgaerts, H. Zimmer
Modeling temporal coherence for optical flow
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
|
27.06. |
D. Mohr |
O. Demetz |
M. Bleyer, C. Rhemann, C. Rother
PatchMatch Stereo: Stereo Matching with slanted support windows
Proceedings of the British Machine Vision Conference 2011
|
27.06. |
A. Mishra |
O. Demetz |
F. Stein
Efficient Computation of Optical Flow Using the Census Transformation
Pattern Recognition, Lecture Notes in Computer Science, Vol. 3175, Proc. 26th DAGM Symposium, Tübingen, Germany, Aug./Sept. 2004
|
27.06. |
M. Lang |
C. Schroers |
M. Aubry, B. Goldluecke, D. Cremers
Decoupling Photometry and Geometry in dense variational camera calibration
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
|
04.07. |
L. Bergerhoff |
O. Demetz |
K. Koeser, C. Zach, M. Pollefeys
Dense 3D Reconstruction of Symmetric Scenes from a Single Image
33rd Annual Symposium of the German Association for Pattern Recognition (DAGM), 2011
|
04.07. |
M. Abosetta |
O. Demetz |
V. Castaneda, D. Mateus, N. Navab
Stereo Time-of-flight
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Nov. 2011
|
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