[visionlist] E-courses on Computer vision, Machine Learning, Autonomous Systems, Image/Video Processing/Analysis, Human-Centered Computing

ioannakoroni at csd.auth.gr ioannakoroni at csd.auth.gr
Fri Mar 20 07:42:14 -04 2020

Dear Colleague/Professor,

this message is sent to you, as several Universities switch to tele-education, in reaction to COVID-19 pandemic.

As a result of my very long University teaching career, complemented by  rich dissemination activities in many European funded R&D projects, we have developed a long list of educational material (100+ 1-hour lecture ppts, more under development) and student assessment tools that allow tele-education of one or more of the following senior undergraduate/MSc/PhD full-semester courses:

1) Computer Vision
2) Machine Learning
3) Autonomous Systems
4) Image Processing and Analysis
5) Video Processing and Analysis
6) Human-Centered Computing
7) Social Media Analysis.

As an example, the Computer Vision course lecture list is attached (final lecture list from parts A-E can be configured, depending on University rules/priorities). 
The lecture list of the rest of the courses can be sent upon request. A multitude of other  courses can be devised, matching special education needs of any University.

Any of these courses can be delivered upon request in various formats (e.g., intensive e-short course, regular e-course with weekly lectures) using tele-education tools (typically Skype for Business) to any audience that has appropriate background (typically senior undergraduate/MSc/PhD students of ECE/CS/EE departments, or other Science/Engineering departments). 

Educational material can also be delivered to be used by other Professors, upon request Sample educational material can be sent upon request.
A lecture example can be found in:

Sincerely yours
I. Pitas

Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities.
His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 30500+ citations to his work and h-index 81+ (Google Scholar). 
Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the IEEE Autonomaous Systems Initiative https://ieeeasi.signalprocessingsociety.org/

Computer vision lecture list

Part A Mathematical foundations of computer vision

Mathematical analysis fundamentals
Linear algebra fundamentals
Geometry fundamentals

Part B  Image/video acquisition and analysis

Introduction to computer vision
Digital images and videos
Image acquisition
Color theory
Image/video perception
Image registration
Edge detection
Region segmentation
Texture description
Image topology
2D shape description and recognition
Motion estimation
Object detection
Object tracking

Part C 3D Computer Vision

Camera geometry
Stereo and Multiview imaging
Structure from Motion
3D object Localization and Mapping
Semantic 3D world mapping
3D object localization
Multiview object detection and tracking
Object pose estimation 

Part D 3D Imaging

3D (volumetric) image processing
3D image geometry and topology
3D image segmentation
3D shape analysis

Part E Applications

Autonomous systems perception (cars/drones) Human centered computing (face detection, recognition, facial expression recognition, activity recognition) Medical imaging (CT/MRI/X-ray/ultrasonic image/volume analysis, medical image registration)

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