Course Number 0510-6251-01
Course Name Computer Vision
Academic Unit The Iby and Aladar Fleischman Faculty of Engineering -
School of Electrical Engineering
Lecturer Prof. Shmuel AvidanContact
Lecturer Prof. Nahum KiryatiContact
Contact Email:
Office Hours By appointmentBuilding: Wolfson Software , Room: 301
Contact Email:
Office Hours By appointmentBuilding: Wolfson Software , Room: 306
Mode of Instruction Lecture
Credit Hours 3
Semester 2021/1
Day Sun
Hours 16:00-19:00
Building Engineering Studies Building
Room 103
Course is taught in English
Syllabus Not Found

Short Course Description

The course this year will be given in the usual format (3 hours in class).

The course will cover the following topics:

1) Image Processing: Edge detection, Hough transform, Thin Plate Splines, Green theorem.
2) Photometric methods for 3D reconstruction
3) Epipolar geometry
4) Detection and representation of interest points
5) Markov Random Fields
6) Viola-Jones face detection algorithm
7) Graph Laplacian/Spectral Clustering
8) Deep Learning

Grade will be made of:
25% - Two or Three homework coding assignments
25% - Final project in Deep Learning
50% - Final exam

Full syllabus will be available to registered students only
Course Requirements

Final Exam

Students may be required to submit additional assignments
Full requirements as stated in full syllabus

PrerequisiteImage Processing (05124262)

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