CS-E4850 - Computer Vision D, Lecture, 13.9.2021-17.12.2021
This course space end date is set to 17.12.2021 Search Courses: CS-E4850
Topic outline
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LecturesZoom link and password for video lectures is visible for registered students at the bottom of this page. Lecture slides and links to other materials can be found below. The presented version of the slides may include small changes and some slides may be skipped when presented. The exam will focus on topics covered in the lectures.
Lecture schedule:
- Lecture 1, Monday September 13, Video 1
- Lecture 2, Monday September 20, Video 2
- Lecture 3, Monday September 27, Video 3
- Lecture 4, Monday October 4, Video 4
- Lecture 5, Monday October 11, Video 5
- Lecture 6, Monday October 18, Video 6
- No lecture on October 25
- Lecture 7, Monday November 1, Video 7
- Lecture 8, Monday November 8, Video 8
- Lecture 9, Monday November 15, Video 9
- Lecture 10, Monday November 22, Video 10
- Lecture 11, Monday November 29, Video 11
- Lecture 12, Monday December 6, Video 12
BooksThe main course books are the following two books:
“Computer Vision: Algorithms and Applications” by R. Szeliski (publicly available at http://szeliski.org/Book/ )“Multiple View Geometry in Computer Vision” by Hartley & Zisserman (http://www.robots.ox.ac.uk/~vgg/hzbook/)
Electronic versions of both books are available via Internet or the Aalto University Library. Library should also have some physical copies of the latter book.
In addition, the following books by Forsyth & Ponce and Gonzalez & Woods cover some topics of the course:
http://luthuli.cs.uiuc.edu/~daf/book/book.html
http://www.imageprocessingplace.com/
Programming Tutorials
Link to a very brief Matlab tutorial:
https://cs.brown.edu/courses/cs143/docs/matlab-tutorial/index.htmlUsing OpenCV and Python:
https://docs.opencv.org/master/d6/d00/tutorial_py_root.htmlLink to an open-source Python library and book for computer vision:
http://programmingcomputervision.com/
There are also other good materials available online.-
Zoom link for lectures Page
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Lecture 1 File PDF
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Lecture 2 File PDF
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Lecture 3 File PDF
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Lecture 4 File PDF
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Lecture 5 File PDF
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Lecture 6 File PDF
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Lecture 7 File PDF
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Lecture 8 File PDF
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Lecture 9 File PDF
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Lecture 10 File PDF
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Lecture 11 File PDF
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Lecture 12 File PDF
- Lecture 1, Monday September 13, Video 1