Two new post docs started at MVPR

Dr. Kuronen and Dr. Zafari started as post docs

Dr. Toni Kuronen and Dr. Sahar Zafari started as post docs at MVPR from the beginning of the year 2019.

Welcome to continue your academic careers!

Dr. Toni Kuronen works in the DIGI-USER Platform (Smart services for digitalisation).

Dr. Sahar Zafari works in the CellVision project (Automatic segmentation of overlapping objects for cell image analysis).


Toni Kuronen's defense Dec 13, 2018

Examination of M.Sc. (Tech.) Toni Kuronen's doctoral dissertation

M.Sc. (Tech.) Toni Kuronen will defend his thesis

Moving Object Analysis and Trajectory Processing with Applications in Human-Computer Interaction and Chemical Processes

on Thursday December 13, 2018 at noon in Auditorium 2310 at Lappeenranta University of Technology (LUT).

The opponents will be professor Pavel Zemcik from Brno University of Technology, Czech Republic and associate professor Joni Kämäräinen from Tampere University of Technology. The custos will be professor Lasse Lensu from Machine Vision and Pattern Recognition Laboratory (MVPR).

The research has been carried out in the COPEX project (funding by the Academy of Finland; collaboration with Visual Cognition Research Group at University of Helsinki) and in the PORLIS project (funding by the Academy of Finland; collaboration with professor Tuomas Koiranen's group at LUT). The thesis is the 38th doctoral dissertation from MVPR.

Welcome to follow the defense!


Sahar Zafari's defense Nov 29, 2018

Examination of M.Sc. (Tech.) Sahar Zafari's doctoral dissertation

M.Sc. (Tech.) Sahar Zafari will defend her thesis

Segmentation of Partially Overlapping Convex Objects in Silhouette Images

Thursday November 29, 2018 at 10 am at University of Texas, Austin, USA. The public examination will be streamed live to the conference room 2411 at Lappeenranta University of Technology (LUT), Lappeenranta, Finland on the same day as above, at 6 pm.

Professor Matti Pietikäinen from University of Oulu will serve as the opponent. Professor Heikki Kälviäinen from Machine Vision and Pattern Recognition Laboratory (MVPR) from LUT will act as the custos.

Zafari's thesis is the 37th doctoral dissertation from MVPR.

The research has been carried out in the COMPHI project (funded by LUT Graduate School) and in the CellVision project (funded by Academy of Finland). The both projects include international collaboration with the Laboratory for Image and Video Engineering (LIVE) at The University of Texas at Austin (UT) led by Professor Alan C. Bovik.

All interested ones are cordially welcome to follow the defense!


Assoc. Prof. Radim Kolar from Czech Republic visit to MVPR

Assoc. Prof. Kolar from Brno University of Technology building collaboration

Assoc. Prof. Radim Kolar from Brno University of Technology (BUT), Czech Republic visited MVPR on 20-23 August 2018. During the visit, he gave a presentation about the retinal research activities in BUT with the focus on retinal video imaging and image processing. Meetings with the research consortium partners for retinal imaging and image analysis were also arranged in Tampere and Joensuu.


Pavel Vostatek's dissertation

Pavel Vostatek defended his dissertation successfully

MSc Pavel Vostatek defended his doctoral thesis "Blood Vessel Segmentation in the Analysis of Retinal and Diaphragm Images". The thesis is connected with a double doctoral degree (cotutelle agreement) and is also related to the previous project Re-Engineering Retinal Imaging with Photonics and Computational Science (ReVision) funded by the Academy of Finland.

The public examination was arranged on 6 April 2018 in the Czech Technical University in Prague (CTU), Czech Republic. The opponents of the examination were be Doc, PhD David Cuesta Frau from Polytechnic University of Valencia, Spain, Doc Ing, PhD Ludek Muller from University of West Bohemia in Pilsen, Czech Republic, and Professor Ulla Ruotsalainen from Tampere University of Technology, Finland (three opponents is the standard at CTU). Pavel Vostatek's supervisor at LUT, Professor Lasse Lensu, participated the public examination as the LUT representative.


Funding for MVPR from Academy of Finland

The Academy of Finland decided to fund the project Automatic segmentation of overlapping objects for cell image analysis (CellVision)

The CellVision project serves needs of the healthcare and the industry. In industrial and biomedical machine vision applications it is very important to deal with digital images which contain a very large amount of overlapping objects. This lead to very useful applications such as cell imaging in the healthcare for diagnosis of cancer and nanoparticle imaging in the industry for quality control and material research. Our goal is to study automatic segmentation of overlapping objects. Manual segmentation is laborious, slow, and sensitive to interpretations. Images may contain tens of thousands of objects and it is time-consuming to detect attached and overlapping objects accurately. Recent developments in machine learning, especially with deep neural networks have enabled massive computations with large datasets. We have developed the state-of-the-art methods for nanoparticle segmentation mainly for industrial purposes, and now our plan is to extend our approach to cell imaging for the modern digital healthcare using machine vision and machine learning.

This is a collaborative project between MVPR and Professor Alan Bovik from LIVE at University of Texas at Austin (UTA).

The two-year project was started in January 1, 2018. The principal investigator is Prof. Heikki Kälviäinen and the project manager is Adjunct Professor, Dr. Tuomas Eerola. See the COMPHI project page for more information.


Cooperation with MIT started

Finnish Funding Agency for Innovation (Tekes) decided to fund the project Leap of Digitalisation for Sawmill Industry (DigiSaw)

The goal of the DigiSaw project is to develop the sawmill industry significantly via digitalisation. One of the main objectives is to build an information system connecting all the production steps of the mill so that it is possible to track the life cycle of raw material from the beginning to the end product. Raw material and its characteristics become individually traceable (e.g., logs and their parts) in the real-time industrial environment. This makes the use of raw material more efficient. At the same time, resource-efficient processes become more sustainable which benefits conservation of nature, especially in controlling the climate change. Modern sensor systems, new computational methods, and more robust mathematical models enable developing novel machine vision based measurements for quality control systems. The capabilities of the systems can be extended by using measured information from the sawmill processes and raw material. The obtained quality information can be connected via feedback loops to sorting the logs and optimizing the sawing processes. The developed innovations will be tested in the real industrial environment.

The project includes international collaboration with the Computer Graphics Research Group at Brno University of Technology (BUT) and Uncertainty Quantification Group at Massachusetts Institute of Technology (MIT).

The two-year project was started in September 1, 2017. The principal investigator is Prof. Heikki Kälviäinen, the co-investigator Prof. Lasse Lensu, and the project manager is Adjunct Professor, Dr. Tuomas Eerola.

See the DigiSaw project page for further information.


Prof. Adam Herout from Czech Republic visiting MVPR

Prof. Herout from Brno University of Technology building collaboration

Prof. Adam Herout from Brno University of Technology (BUT) from Czech Republic is visiting MVPR during the Easter week, including Erasmus lectures, discussions with MVPR researchers, and planning his course in the LUT summer school. See the link "Computational Engineering and Technical Physics" on the courses page. for further information about the course.

Prof. Herout gave visiting lectures Monday April 10, 2017 about

Striving for Fully Automatic Traffic Surveillance

on the Computer Vision course as a part of his Erasmus exchange visit.


Traffic surveillance cameras can produce a lot of specific data. We are processing the data with the aim to fully automatically obtain as much useful data as possible: camera calibration, make&model fine-grained recognition, speed measurement and other things. Some things work, some things might in the future.

Scientific interests of Professor Adam Herout are in computer vision, videoanalytics, computer graphics, and real-time processing. He has published his research in many forums, e.g., studies on traffic surveillance in CVPR and ICCV.


Visits to St. Petersburg

Prof. Kälviäinen promoting collaboration with ITMO and SPbPU

Professor Heikki Kälviäinen from MVPR visited ITMO University and Peter the Great St.Petersburg Polytechnic University (SPbPU) March 8-10, 2017. The visit included discussions about research collaboration and DD master programs.


Research visits to Czech Republic

Prof. Kälviäinen visiting CTU

Professor Heikki Kälviäinen from MVPR visited Czech Technical Universty (CTU) February 27- March 5, 2017 at Faculty of Electrical Engineering (FEL). His visit included EU Erasmus teacher exchange actitivies, meetings with several research groups related to digital image processing, machine vision, and pattern recognition, and two presentations about MVPR's research actitivies at Department of Telecommunication Engineering and at at Center for Machine Perception (CMP) at Department of Cybernetics. The goal of the visit is to continue currect joint research and to discuss about possibilities for vision-based research collaboration.

The visit was hosted by Dr. Radek Marik from Department of Telecommunication Engineering and Prof. Jiri Matas from CMP.