
Pratikakis Ioannis
| RANK: |
Professor |
| SECTOR: |
Electronics and Information Technology Systems Sector |
| LABORATORY: |
Electrical Circuits, Signal and Image Processing Laboratory |
| EXPERTISE: |
Computer Vision, Digital Image and Video Processing |
CONTACT DETAILS
| ADDRESS: | University Campus Kimmeria, Building B, Office 1.14 |
| E-MAIL: |  |
| TELEPHONE: | +30 25410 79586, Fax: +30 25410 79569 |
| PERSONAL WEBSITE: | http://utopia.duth.gr/~ipratika/ |
| CV: | |
SCIENTIFIC INTERESTS
- 3D Vision
- 3D Object Recognition and Retrieval
- Document Image Analysis and Recognition
- Medical Image Analysis
- Motion Analysis and Tracking
- Machine Learning
UNDERGRADUATE COURSES
- Signals and Systems
- Computer Graphics
- Computer Vision
POSTGRADUATE COURSES
- Digital Video Processing and Analysis
- Special Topics in 3D Graphics
SHORT CV
Ioannis Pratikakis received the Diploma in Electrical Engineering from the Democritus University of Thrace, Greece in 1992 and the Ph.D. degree in 3D Image analysis from the Electronics engineering and Informatics department at Vrije Universiteit Brussel, Belgium, in January 1999. From March 1999 to March 2000, he joined IRISA in Rennes, France as an INRIA postdoctoral fellow. In June 2001, he was employed by inos hellas S.A. as senior researcher responsible for the R&D on digital image processing and computer vision activities with application in robotics and 3D metrology. From January 2003 to June 2010, he was working as Adjunct Researcher at the Institute of Informatics and Telecommunications in the National Centre for Scientific Research “Demokritos”, Athens, Greece. In 2010, he joined the Electrical and Computer Engineering Department at the Democritus University of Thrace, Greece, where he currently serves as Associate Professor in Computer Vision and Digital image and video processing. His research interests include applications of 3D Vision, Machine learning, Image analysis and recognition, motion analysis and tracking. He has participated in more than 20 national and international R&D projects related to the aforementioned areas. He is member of the steering committee of EG Workshop on 3D Object Retrieval (3DOR) and the International Conference on Frontiers in Handwriting Recognition (ICFHR). He has been member of the Board of the Hellenic Artificial Intelligence Society for the period 2010-2014. He is Senior Member of the IEEE, member of the board of IEEE Greece Section, member of the board of the Greek Association of Image Processing and Digital Media (GAIPDM) and member of the European Association for Computer Graphics (Eurographics).
RESEARCH PROJECTS
- μtS ( https://mdoc-ts.ee.duth.gr/ ) a Platform for Historical Handwritten Manuscripts Transcription) (National Project ‘RESEARCH-CREATE-INNOVATE’ (project code: T1EDK-01939))
- READ ( https://read.transkribus.eu/ ) (Recognition and Enrichment of Archival Documents) H2020-EINFRA-9-2015 (Grant Agreement: 674943)
- TRANSCRIPTORIUM ( http://transcriptorium.eu/ ) (Recognition of Handwritten documents) (FP7-ICT-2011.8.2 – CP)
- THALIS – 3D Object Retrieval (Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF))
- CBIR-4-CAD, Content-Based Image Retrieval Services for Breast Cancer Computer – Aided Diagnosis (National GSRT))
SELECTED PUBLICATIONS
- Veinidis, C., Danelakis, A., Pratikakis, I., Theoharis, T., “Effective Descriptors for Human Action Retrieval from 3D Mesh Sequences”, (2019) International Journal of Image and Graphics, 19 (3).
- Tsochatzidis, L., Costaridou, L., Pratikakis, I., “Deep learning for breast cancer diagnosis from mammograms — A comparative study”, (2019) Journal of Imaging, 5 (3), art. no. 37.
- Veinidis, C., Pratikakis, I., Theoharis, T., “Unsupervised human action retrieval using salient points in 3D mesh sequences” (2019) Multimedia Tools and Applications, 78 (3), pp. 2789-2814.
- Danelakis, A., Theoharis, T., Pratikakis, I. ,”Action unit detection in 3D facial videos with application in facial expression retrieval and recognition”, (2018) Multimedia Tools and Applications, 77 (19), pp. 24813-24841.
- Savelonas, M.A., Pratikakis, I., Theoharis, T., Thanellas, G., Abad, F., Bendahan, R., “Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data”, (2018) Computer Vision and Image Understanding, 171, pp. 1-9.
- Pratikakis, I., Savelonas, M.A., Mavridis, P., Papaioannou, G., Sfikas, K., Arnaoutoglou, F., Rieke-Zapp, D., “Predictive digitisation of cultural heritage objects”, (2018) Multimedia Tools and Applications, 77 (10), pp. 12991-13021.
- Sfikas, K., Pratikakis, I., Theoharis, T., “Ensemble of PANORAMA-based convolutional neural networks for 3D model classification and retrieval”, (2018) Computers and Graphics (Pergamon), 71, pp. 208-218.
- Theologou, I. Pratikakis and T. Theoharis “Unsupervised Spectral Mesh Segmentation Driven by Heterogeneous Graphs”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 39 (2), (397-410), 2017
- Theologou , I. Pratikakis and T. Theoharis “Part-based 3D object retrieval via multi-label optimization “, Computer Vision and Image Understanding , 160, (148-157), 2017
- Zagoris, I. Pratikakis, and B. Gatos “Unsupervised Word Spotting in Historical Handwritten documents using Document-oriented local features”, IEEE Transactions on Image Processing, 26 (8), (4032-4041), 2017
GOOGLE SCHOLAR LINK
https://scholar.google.com/citations?hl=en&user=lCVokogAAAAJ
SCOPUS LINK
https://www.scopus.com/authid/detail.uri?authorId=6603153502