The fifth training school of ETN-FPI on Light Field Data Representation, Interpretation, and Compression will be held in Sundsvall 28 May– 1 June 2018. It is co-organized with IEEE SPS Summer school. For more info (and registration) please visit the training shool web pages at http://www.full-parallax-imaging.eu/TS5/

ETN-FPI training school 4 will take place in New Castle, UK, from January 14th through January 18th. The focus of the school will be on leadership and transferable skills. In conjuction with the training school, a workshop on value creation will be held on Monday, January 14th.

More info available on the school website: http://www.full-parallax-imaging.eu/TS4/

Workshop on visual data capture will be held during November 6th – 8th at Fraunhofer IIS, Department Moving Picture Technologies in Erlangen, Germany. It will consist of several lectures followed by hands on exercises.

For more information please visit the workshop webpages.

ETN-FPI network will present a tutorial entitled “Light Field Imaging – Models, Processing and Compression” on Sunday Marsh 5, at the 2017 IEEE International Conference on Acoustics, speech and Signal Processing in New Orleans, USA.

More info is available on the conference homepages.

Training school 3 on “Plenoptic Sampling” will take place at Christian-Albrechts University (CAU) and Raytrix GmbH in Kiel, Germany during March 13–17, 2017

During the 5-day training school we will cover theory and practice of plenoptic sensing devices, data acquisition from lens-based lightfields, and production of test data. The expected instructors of the training school are:

• Reinhard Koch, Professor of Multimedia Information Processing, Kiel University.
• Sandro Esquivel, Post-doctoral Researcher, Kiel University.
• Christian Perwass, CluTec, formerly at Raytrix GmbH, Kiel.
• Bastian Goldlücke, Professor of Image Analysis and Computer Vision, University of Konstanz.
• Joachim Keinert, Chief Scientist, Department Moving Picture Technologies, Fraunhofer IIS.
• Karol Myszkowski, Senior Researcher, Max Planck Institute for Informatics.

For more information, visit TS3 website

Tell something about yourself?

My name is Ron and I’m from the Netherlands. I did both my bachelor and master in Electrical Engineering at the University of Technology Eindhoven. During my master thesis I focused on the handling of occlusions in an object detection system using computer vision and machine learning, my resulting paper got published by SPIE. For the past two years I have been traveling through several countries and I didn’t want to go back home, that’s how I ended up in Nuremberg. Further hobbies are cooking (to be honest, mostly eating) and fitness.

Why did you apply to the ETN-FPI project?

I applied to this project, because it provides several good opportunities for me. I’ve always been interested in doing research and being part of such a big network allows us to motivate and assist each other. Thereby, I have the possibility to travel some more and get to know countries I’ve never visited before. This project will also help to extend my knowledge in the area of computer vision and hopefully my current experience will be of good help. I hope that I can develop myself even further and eventually will qualify for a PhD.

What kind of expectations do you have for your research project and network training?

I love the idea of being part of an international team. This way everybody can use ones own approach and background to tackle different problems. Everybody will have their own unique view and approach. Thereby we will get to know each other better and get to explore other countries. After all, not everything can be learned from a book. I’m certain we can teach each other a lot and we will have a good outcome, which will hopefully change the modern industry.

Ron Op het Veld is based at Fraunhofer IIS 2016-2019, and his research project “Algorithms for the conversion of image data acquired using sparse angular sampling into a dense lightfield” is linked to Work Package 1.

Tell something about yourself?

My name is Yongwei Li and I am from China. I got my Bachelor and Master Degree in Computer Science and Technology from Liaoning Normal University, China. My master study mainly focused on the field of image analysis, CBIR (content-based image retrieval) and signal processing. During my master, I worked in a lab which is funded by the National Natural Science Foundation of China, from where I started my research career and published six journal papers as the co-author with my supervisor Xiangyang Wang and co-supervisor Hongying Yang. In my spare time, I enjoy myself with reading, traveling and working out at gyms.

Why did you apply to ETN-FPI project??

My academic study in general, and the experience of scientific research in particular, has left an indelible mark on my intellectual development. I am sure that the further development of my research requires a well-organized international training network just like ETN-FPI, which can provide me with broader vision and more profound insights into state-of-the-art technology. Additionally, I believe imagination and creativity can be stimulated through cross-cultural communication and a variety of advanced training modes such as training schools, secondments and online seminars.

What kind of expectations do you have for your research project and network training?

Existing theory and technology can no longer meet the academic or industrial requirements of complex imaging systems due to the imbalanced descriptiveness and complexity in models. To be more specific, geometric models have a rather low complexity in computation meanwhile it is suffering from being unable to describe many optical properties. While on the other hand, wave optics models are highly descriptive but the cost of computation is intolerable. So it is of vital significance to find a balance between descriptiveness and computational complexity in optic models for the development of data capture and processing in complex imaging systems. My PhD research project will mainly focus on this problem, which makes it a highly interesting and challenging topic. And hopefully I will find a solution using my acquired knowledge from both physics and computer science perspectives in order to push forward the development of full-parallax imaging.

Yongwei Li is based in Mid Sweden University 2016-2019, and his research project “Modelling of Plenoptic capture in geometrical optics considering lightfield sampling and aliasing” is linked to Work Package 1.

Tell something about yourself?

Hey, my name is Aron. I am computational physicist from Hungary, but spent most of the last 5 years in Germany and I moved back home for this project. As for hobbies I really love traveling (40 countries, 90 airports, 35 airlines). If you need a cheap ticket for a weird holiday plan or an airline messed up your itinerary, I am the guy, just ask :). Otherwise I also enjoy cooking for others, so I guess ESRs having secondments here will get to know me better on my dinner parties.

Why did you apply to ETN-FPI project

I have already been in an other Marie Curie network so I know how valuable this opportunity is, and I didn’t want to go into to pure industry just yet. Freedom is the best currency.

What kind of expectations do you have for your research project and network training?

I hope we can show the world that the lightfield technology is ready for commercial use and with our valuable research we can bring it successfully to the market. And I also want to travel of course to interesting conferences.