Category Archives: News

Training shool on Researcher Development

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 (WS2)

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.

Light Field Tutorial at ICASSP 2017

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 in March 2017 – Website published!

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

 

     

Meet our Early Stage Researchers: Ron Op het Veld from Fraunhofer IIS

Tell something abron_op_het_veldout 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.

Meet our Early Stage Researchers: Yongwei Li from Mid Sweden University

yongweiTell 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.

­

Meet our Early Stage Researchers: Aron Cserkaszky from Holografika

Tell sometharon_cserkaszkying 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.

Aron Cserkaszky will be based in Holografika 2016-2019, and his research project “GPU assisted lightfield data processing” is linked to Work package 2.

Meet our Early Stage Researchers: Faezeh Sadat Zakeri from Fraunhofer IIS

faezeh_zakeriTell something about yourself?

I got my Bachelor’s degree from university of Kashan, Iran in Computer Software Engineering, and a Master’s degree in CIMET (Color in Informatics and Media Technology) an Erasmus Mundus Program consortium of four European universities. During the Master’s studies, I spent the first year at university of Jean Monnet (branch of Lyon universities) in France, and the third semester at university of Eastern Finland. CIMET program focused on topics like Computer Vision, Image Processing, Spectral Imaging and Machine Learning. I had an opportunity to put education into practice in my Master’s thesis,  “Light Field Super Resolution”,  at Media Computing Lab of Technicolor R&D company in Rennes, France.

 

Why did you apply to ETN-FPI project?
Since ETN-FPI project aims at advancing the research in the areas of plenoptic and light field, it covers my fields of interest, and motivated me to join this research network.


What kind of expectations do you have for your research project and network training?
I expect to build new knowledge upon the state of art methods in this field, and hope to use the benefits of this advance training network to find solutions to at least one the challenges in this area of technology.

Faezeh Sadat Zakeri will be based in Fraunhofer IIS 2016-2019, and her research project “Lightfield imaging for cinema quality media production” is linked to Work package 2.

Meet our Early Stage Researchers: Amir Ansari from University of Valencia

Tell something about yoursamir-ansarielf?

I have a master degree in electrical engineering- communication systems from Shiraz university of Technology, Iran. I have designed some customized hardware platforms using FPGA devices as well as a hardware platform for GPS-based remote positioning. I also have experience of theoretical and practical research in digital watermarking. My master thesis was about restoration of remote sensing hyperspectral images by data fusion techniques. My research interests include image processing, video coding, digital watermarking and hardware design.

Why did you apply to ETN-FPI project?

I think that full parallax imaging is an upward trend both in academia and industry and it will attract even more attention in future. This project fits my research interests and my background can be helpful to fulfill the aims of this project. ETN provides a unique  opportunity for international collaboration with academic and industrial sectors involved in the network.

 

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

I hope to overcome the challenges of this project on schedule and with best possible solutions. Despite the potential hardships of any contemporary research, working on this project will revitalize my research profile and will help me to attain a great insight into full parallax imaging.

Amir Ansari is based in University of Valencia 2016-2019, and his research project “Visualization techniques based on integral imaging ” is linked to Work package 3.