Short Course Description
The course this year will be given in a reverse class format.
Students are expected to watch a video lecture *before* class.
(The videos are recording of the lectures given last year in English)
The zoom meetings will focus on Q&A and review of the material covered in the video.
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:
10% - Each zoom session will have a short Kahoot quiz. The average of the top 6 grades will be used
20% - Two or Three homework coding assignments
40% - Final project in Deep Learning
30% - Final exam
Full Syllabus