This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2020), held at Technical University of Sofia, Sofia, Bulgaria, during 0911 July 2020. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.

Presents research works in the field of multidimensional signal processing Discusses the results of NAMSP 2020 held at Technical University of Sofia, Bulgaria, during 0911 July 2020 Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Prof. Roumen Kountchev, Ph.D., D.Sc., is Professor at the Faculty of Telecommunications, Department of Radio Communications and Video Technologies, Technical University of Sofia, Bulgaria. His areas of interest are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 350 papers published in magazines and proceedings of conferences; 15 books; 46 book chapters; 20 patents (3 intern.). He had been Principle Investigator of 38 research projects. At present, he is a member of Euro Mediterranean Academy of Arts and Sciences (EMAAS) and President of Bulgarian Association for Pattern Recognition (member of Intern. Association for Pattern Recognition). He is an Editorial board member of International Journal of Reasoning-based Intelligent Systems; International Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; International Journal of Bio-Medical Informatics and e-Health; and International Journal of Intelligent Decision Technologies. He has been a plenary speaker at WSEAS International Conference on Signal Processing, 2009, Istanbul, Turkey; WSEAS International Conference on Signal Processing, Robotics and Automation, University of Cambridge 2010, UK; WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision 2012, Istanbul, Turkey; International Workshop on Bioinformatics, Medical Informatics and e-Health 2013, Ain Shams University, Cairo, Egypt; Workshop SCCIBOV 2015, Djillali Liabes University, Sidi Bel Abbes, Algeria; International Conference on Information Technology 2015 and 2017, Al-Zaytoonah University, Amman, Jordan; WSEAS European Conference of Computer Science 2016, Rome, Italy; The 9th International Conference on Circuits, Systems and Signals (CSS'17), London, UK, 2017; IEEE International Conference on High Technology for Sustainable Development (HiTech'18) and (HiTech'19), Sofia, Bulgaria; The 8th International Congress of Information and Communication Technology (ICICT'18), Xiamen, China, 2018.   
Prof. Rumen Mironov is working at Technical University of Sofia, Sofia, Bulgaria. Dr. Rumen Mironov received his M.Sc. and Ph.D. in Telecommunications from Technical University of Sofia and M.Sc. in Applied Mathematics and Informatics from Faculty of Applied Mathematics and Informatics. He is currently Head of the Department of Radio Communications and Video Technologies, Technical University of Sofia, Bulgaria. His current research focuses on digital signal and image processing, pattern recognition, audio and video communications, information systems, computer graphics and programming languages. He is a member of Bulgarian Association of Pattern Recognition (IAPR) and Bulgarian Union of Automation and Automation Systems. Rumen Mironov is theauthor of more than 60 scientific publications.  
Prof. Shengqing Li is working at Hunan University of Technology, China. He is Doctor of Engineering, Professor, Doctoral Supervisor and Expert entitled to Government Special Allowance (GSA). Professor Li is Dean in the School of Electrical and Information Engineering at Hunan University of Technology. Meanwhile, he is serving as Chairman of Hunan Engineering Research Center, the academic leader of provincial key discipline as well as the permanent member of Hunan Electrotechnical Society and Hunan Electrical Engineering Society. Professor Li's extensive experiences with electricity and engineering lead to his broader interest in Power Quality Control Strategy for Distribution Network, New Energy Grid-Connected System Power and Electrical Energy-saving Technology. He currently hosted and participated in 20 important research projects of the Provincial Natural Science Foundation, the National Natural Science Foundation and National Key R&D Program of China, etc. He received 9 ministerial second prizes and honoured prizes of Progress in Science and Technology, Science and Technology Award of China Electrotechnical Society, etc., with his papers, researches, 14 authorized patents and software copyright. Professor Li is the author of 6 books (2 of them were published by China Science Press). He has published numerous papers, 45 of which are included by SCI/EI consisting of proceedings of the CSEE and International Journal of Robotics and Automation, etc.

Inhalt
Computational Intelligence for Brain Tumors Detection.- Video-Based Monitoring and Analytics of Human Gait for Companion Robot.- Comparative Analysis of the Hierarchical 3D-SVD and Reduced Inverse Tensor Pyramid in Regard to Famous 3D Orthogonal Transforms.- Tracking of Domestic Animals in Thermal Videos by Tensor Decompositions.- Partial Contour Matching based on Affine Curvature Scale Space Descriptors.- Vision-Based Line Tracking Control and Stability Analysis of Unicycle Mobile Robots.- Markerless 3D Virtual Glasses Try-on System.- Copy Move Forgery Detection by using Key-Point based Harris Features and CLA clustering.- Web-based Virtual Reality for Planning and Simulation of Lifting Operations Performed by a Hydraulic Excavator.- On Metrics Used in Colonoscopy Image Processing for Detection of Colorectal Polyps.