Introduction to Image Processing and Machine Intelligence
Jaime S. Cardoso holds a Licenciatura (5-year degree) in Electrical and Computer Engineering in 1999, an MSc in Mathematical Engineering in 2005 and a Ph.D. in Computer Vision in 2006 from University of Porto. Cardoso is an Assistant Professor at the Faculty of Engineering of the University of Porto (FEUP), where he has been teaching Machine Learning and Computer Vision in Doctoral Programs and multiple courses for the graduate studies.
Cardoso is currently the leader of the ‘Information Processing and Pattern Recognition’ Area in the Telecommunications and Multimedia Unit of INESC Porto.
His research can be summed up in three major topics: computer vision, machine learning and decision support systems. Cardoso has co-authored 100+ papers, 30+ of which in international journals.
Blind Image Restoration
Doctor Ferréol Soulez
Centre de Recherche Astrophysique de Lyon (CRAL), Université Claude Bernard - Lyon 1, Ecole Normale Supérieure de Lyon, Université de Lyon
Ferréol Soulez is research scientist in the the high angular resolution group of the Lyon Center for Astrophysics Research. After he completed his PhD degree in 2008 at the Saint-Etienne University (France), he worked in 2009 as post-doc researcher at the Non Destructive Testing by Ionizing Radiation laboratory of the National Institute of Applied Science of Lyon (INSA-Lyon) and then two years (2010-2011) at the microscopy platform of the Lyon 1 University. His research interests are in the inverses problems approaches for signal and image restoration and reconstruction He focus mainly on possibly space-variant deblurring and autocalibration (i.e. estimation of instrumental parameters from the observation as in blind deconvolution) specifically for multivariate signals (such as hyperspectral data, video, temporal sequences of
observations) in a wide range of applications: astronomical imaging, medical imaging, digital holography, astronomical optical interferometry, microscopy, non destructive testing...
Haptic Augmented Reality
Professor Matthias Harders
Computer Vision Laboratory, Department Information Technology and Electrical Engineering, Swiss Federal Institute of Technology Zurich (ETH Zurich)
Matthias Harders is lecturer and senior researcher at the Computer Vision Lab of ETH Zurich, and leader of the Virtual Reality in Medicine Group. Current research focuses virtual and augmented reality, haptic interaction, and biomedical simulation. He studied Computer Science with focus Medical Informatics at the University of Hildesheim, Technical University of Braunschweig, and University of Houston. He finished his doctoral thesis on visual-haptic medical segmentation at ETH Zurich in 2002. He completed the habilitation at ETH Zurich in 2007. He is co-founder of the EuroHaptics conference, the EuroHaptics Society, and the IEEE RAS/CS Haptics Technical Committee. He is also a co-founder of the ETH spin-off company VirtaMed which focuses on commercializing surgical training systems.
Colour in Computer Vision
Theo Gevers is Professor of Computer Science at the University of Amsterdam, The Netherlands and a part-time Professor at the Computer Vision Centre (UAB), Barcelona, Spain. At the University of Amsterdam he is a teaching director of the MSc of Artificial Intelligence. He currently holds a VICI-award (for excellent researchers from The Netherlands, top 1%) from the Dutch Organization for Scientific Research (2008-2013). In 2005, he was awarded an ICREA full research professorship (for excellent researchers from Europe, top1%). He is CSO (Chief Scientific Officer) and founder of ThirdSight B.V., a spin-off of the University of Amsterdam. ThirdSight (currently 17 employees) is a Dutch, Amsterdam based company which brings cutting edge computer vision technology within the reach of consumers. His main research interests are in the fundamentals of object recognition, colour image processing and human behaviour analysis in computer vision specifically in the theoretical foundation of geometric and photometric invariants, colour saliency, emotion recognition and head pose estimation. Theo Gevers has his scientific roots in two communities: colour (CIC, CGIV) and computer vision (ICCC, CVPR, ICIP, ICPR). In both communities he has been a chair of various conferences, actively involved in different programs, and has provided different tutorials. Notably, he is a general chair of the European Conference on Computer Vision (ECCV 2016), the Internet Imaging Conference (SPIE 2005, 2006), the Conference on Colour in Graphics, Imaging, and Vision (CGIV 2010, 2012), the Conference on Multimedia Content Access: Algorithms and Systems (SPIE 2007, 2008, 2010), the tutorial chair of the Conference on Multimedia & Expo (ICME 2005) and the poster chair of the Conference on Colour in Graphics, Imaging, and Vision (CGIV 2006). He is the co-organizer of the First International Workshop on Image Databases and Multi Media Search (1996), the International Conference on Visual Information Systems (1999, 2005), and the Conference on Multimedia & Expo (ICME, 2005). He is guest editor of the special issue on content-based image retrieval for the International Journal of Computer Vision (IJCV 2004) and the special issue on Colour for Image Indexing and Retrieval for the journal of Computer Vision and Image Understanding (CVIU 2004). He has published over 150 papers on image processing, image retrieval and computer vision. He is program committee member of a various number of conferences, and an invited speaker at major conferences. He is a lecturer of post-doctoral courses/tutorials given at various major conferences (ICCV, CVPR, ICIP, ICPR, ICIAP, SPIE, CGIV).
Professor Krystian Mikolajczyk
Faculty of Engineering & Physical Sciences, University of Surrey
Dr Krystian Mikolajczyk is an associate professor in the Centre for Vision Speech and Signal Processing at the University of Surrey. He completed his PhD degree in 2002 at the Institute National Polytechnique de Grenoble, France. He then worked as a research officer in INRIA, University of Oxford and Technical University of Darmstadt (Germany), before joining the University of Surrey in 2005. His main area of expertise is in image and video recognition, in particular in problems related to image representation and machine learning. He participated in a number of EU and UK projects all in the area of image and video annotation and retrieval. Dr Mikolajczyk has more than 60 publications in top-tier forums such as ICCV, ECCV, CVPR as well as journal articles in PAMI, IJCV, CVIU, JMLR etc. He has served in various roles at major international conferences (e.g. ICCV, CVPR, ICPR, NIPS), co-chairing British Machine Vision Conference 2012 and IEEE International Conference on Advanced Video and Signal-Based Surveillance 2013.
Dr. Jürgen Sturm is a Post-Doc in the Computer Vision and Pattern Recognition group of Prof. Daniel Cremers at the Department of Computer Science of the Technical University of Munich. His major research interests lie in real-time localization, mapping and safe navigation for micro aerial vehicles. In 2011, he obtained his PhD from the Autonomous Intelligent Systems lab headed by Prof. Wolfram Burgard at the University of Freiburg. In his PhD work, he developed novel approaches to estimate kinematic models of articulated objects and mobile manipulators as well as for tactile sensing and imitation learning. For this PhD thesis, he received the ECCAI Artificial Intelligence Dissertation Award 2011 and was selected as a finalist for the EURON Georges Giralt Award 2012.
Miguel Tavares Coimbra is an Assistant Professor at the Department of Computer Science of the Faculty of Sciences of the University of Porto. He received his B.Sc. in Electrical Engineering and Computers in the Faculty of Engineering of the University of Porto, worked in 1999 at INESC-PORTO as a researcher and began his PhD studies in 2000 in King’s College London in the area of computer vision. He transferred to Queen Mary, University of London in 2002, where he concluded his PhD studies in 2004. Dr. Coimbra worked as a post-doc researcher in medical imaging at IEETA-Universidade de Aveiro in Portugal until September 2006. He has 11 years of experience in computer vision, 7 of which in biomedical image and signal processing research. He leads a team of PhD and Msc students, has numerous publications on the field, leads two financed project in gastroenterology and cardiology and has participated as a researcher in 4 other financed projects involving clinical partners. His current research interests include biomedical signal processing and interactive systems for healthcare, with established cooperations with both international academic institutions such as CMU and QMUL and Hospitals both national (IPO-Porto, IPO-Coimbra, Centro Hospitalar Alto Ave) and international (Real Hospital Português, Brazil; Karolinska Universitessjukhuse, Sweden). Dr. Coimbra is a founding member of Porto Laboratory of the Instituto de Telecomunicações, in which he created and currently leads the Interactive Media Group. He is a Technical Advisor of the Portugal Chapter of the IEEE Engineering and Medicine Society, a EURASIP Local Liason Officer and member of the Scientific Committee of the Master in Medical Informatics of the University of Porto.
Critical Health, S.A.
Carlos Manta Oliveira
Image Processing Manager
Marco Soares and André Sousa