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Computer Vision
Lecturer
I.Pitas,
Content and organization
Edge detection. Image segmentation. Image texture. Image features. Image registration. Image search and retrieval. Image topology. 2D shape description and recognition. Deep learning and computer vision. Moving images – Digital video. Video digitization. Video perception. Video processing. Motion estimation. Object tracking. Video description. Video search and retrieval. Deep learning and video analysis.
Course attendance will be asynchronous in English, using the educational material found in CVML Web Lectures modules:
2D Computer Vision and Image Analysis
Video Processing and Analysis
Compulsory bibliographical and/or programming assignments are foreseen to be carried out during the course.
In order to pass the course, you will be requested to:
1) study the course lecture pdfs (in English) and fill the respective understanding questionnaires:
2) do an obligatory bibliographical project (in ppt and tex)
3) do an obligatory programming project
4) participate in the final written course exams (remotely).
Level
Senior undergraduate course
Course Type
Semester Course
Participation terms
Asynchronous on-line participation. Enrollment cut of date 25/02/2022.
Schedule
Spring semester. Duration 13 weeks. Typical start date: second half of February each year.
Language
English/Greek
Modality (online/in person):
Online
Notes
Maximum number of AIDA students: 5
