Review:
VSI organized the
DAGM 2011
annual symposium in Frankfurt.

Activities and events

Contribution to the SSBA Summer School 2010

Prof. Mester contributes to the SSBA Summer School 2010, "Linear methods in multidimensional signal analysis" at Uppsala University, August 10 - 13, Uppsala

http://www.cb.uu.se/SSBA_summer_10/index.html

2011 Joint Conference of the DAGM  and GfKl

Visual Sensorics and Information Processing lab and the DataBionics group (headed by Prof. Ultsch, University of Marburg), are organizing the 2011 joint conference of the DAGM and GfKl.The conference will take place from August 30, 2011 till September 02, 2011 at the Campus Westend, University of Frankfurt/Main. Further information can be found on www.dagm2011.org and www.gfkl.org.

Dr. Alvaro Guevara's research trip visiting EPFL Lausanne and INRIA Grenoble

On July 23rd, 2010, Dr. Alvaro Guevara presents his recent work on statistical signal interpolation at the Biomedical Image Group (http://bigwww.epfl.ch/index.html) in EPFL (Ecole Polytechnique Fédérale de Lausanne). This group is led by Michael Unser, which is a world-recognized leader on this subject. Furthermore, between July 26th and July 30th, Dr. Guevara is also taking part in the INRIA Visual Recognition and Machine Learning Summer School 2010 (http://www.di.ens.fr/willow/events/cvml2010/). Here, experts in such subjects such as Andrew Zisserman, David Forsyth, and Carsten Rother will present recent techniques in automated visual recognition, resulting from combining advanced visual representations together with powerful machine learning techniques. A poster presenting the current development of the demostrator D3 of the Bernstein Fokus: Neurotechnologie Frankfurt is also to be presented.

Dr. Alvaro Guevara's Research Trip to the US

During the dates between May 16th and May 29th, 2010, Dr. Alvaro Guevara presented his recent work on statistical image interpolation on the IEEE Southwest Symposium for Image Analysis and Interpretation (SSIAI 2010), and visited a total of 4 departments and labs in Southern USA, namely,

• Department of Mathematics, LSU
  
• Imaging, Robotics, and Intelligent Systems (IRIS) Laboratory, University of Tennessee
• Laboratory for Image and Video Engineering (LIVE), University of Texas at Austin
• Theoretical Systems Neuroscience Laboratory, Department of
  Neuroscience, Baylor College of Medicine

At these locations, an extended talk including highlights of the current development of the demostrators D2 and D3, and project P7 of the Bernstein Fokus: Neurotechnologie Frankfurt was also presented.
The lab is excited about new potential collaborations and research exchange with these labs/departments.

42. Heidelberger Image Processing Forum in Frankfurt

Topic: Learning Machine Vision Systems

Prof. Rudolf Mester will give a talk with the title:

'Besser sehen lernen: Was Roboter von Natur und Statistik abschauen können'

Location: FIAS (Frankfurt Institute for Advanced Studies)

Time: Tue 09.03.2010,  11a.m. to 5p.m.

External Links:

Talk: A Computational Perspective on Visual Attention

Prof. Dr. John Tsotsos
Distinguished Research Professor of Vision Science
Canada Research Chair in Computational Vision
Dept. of Computer Science & Engineering, York University

Member (Past Director 2000-2006) Centre for Vision Research, York University
Adjunct Professor, Dept. of Ophthalmology and Vision Sciences
Dept. of Computer Science, University of Toronto

Location: FIAS (Frankfurt Institute for Advanced Studies)
Time: Do 15.10.2009,  15:30 Uhr

A Computational Perspective on Visual Attention

Visual attention has recently become an important theme in computational vision; in the biological sciences it has been studied seriously for over a century and has captured imaginations since ancient times. But the literature is confused and full of ambiguity and contradiction. This presentation will suggest that the language of computation - distinct from only mathematics - may provide an appropriate means  for shedding light on this important brain function. I will provide a brief overview of my research over the past 20 years that examines the problem of visual attention. Elements of the overview include an examination of the computational complexity of vision, suggestion of constraints on mechanisms for vision based on those complexity results, a summary presentation of the Selective Tuning model, and will conclude with recent experimental results that provide strong biological evidence supporting the theoretical underpinnings of the model. The talk is a preview of a book of the same title that I am completing for MIT Press.

Statistical Methods in Multi-Image and Video Processing (SMVP) 2006

This workshop focuses on recent progress on the application of modern statistics to modeling and solving computer vision tasks that use multi-image or video data. For such sequences, the underlying models and parameters of the algorithms have to be often adapted or reinitialized in time. Moreover, on-the-fly efficient model selection or detection of redundancy is often necessary.

1st International Workshop on Complex Motion

Schloss Reisensburg near Günzburg, Germany, Oct. 12 - 14, 2004
supported by the German Pattern Recognition Association (DAGM) and Daimler Chrysler Research