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CS-442
Summary
Conclusion
Conclusion
Completion requirements
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Conc.pdf
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Course Introduction
Human Vision
Image Formation
Computer Vision: Algorithms and Applications. Chapter 2 (optional)
Edge Detection
Computer Vision: Algorithms and Applications. Chapter 7.2 (optional)
Deep Learning (Perceptrons and ConvNets)
Computer Vision: Algorithms and Applications. Chapters 5.3 and 5.4 (optional)
Delineation
Computer Vision: Algorithms and Applications. Chapters 7.3 (optional)
Segmentation
Computer Vision: Algorithms and Applications. Chapter 6.4 (optional)
Texture
Deep Learning (Transformers)
The Discrete Fourier Transform: Bracewell, chapter 11 (optional)
Shape from Shading
Shape from Texture
Computer Vision: Algorithms and Applications. Chapter 13.1 (optional)
Shape from Stereo
Computer Vision: Algorithms and Applications. Chapter 12 (optional)
Shape from Contours
Shape from Motion
Computer Vision: Algorithms and Applications. Chapter 11.4 (optional)
Deep Surfaces (optional)
Tracking and Counting (optional)
Exercise Session 1
Exercise Session 1 with solutions
Python support material
Exercise session 2
Exercise Session 2 Answers
Exercise Session 3
Exercise Session 3 Answers
Exercise Session 4
Exercise Session 4 Answers
Exercise 5 - Shape from Shading
Exercise 5 - Shape from shading - Solutions
Exercise Session 6 - Shape From Stereo
Exercise Session 6 - Image Segmentation
Exercise Session 6 - Shape from Stereo - Answers
Exercise Session 6 - Image Segmentation - Answers
Exam 2024
Exercise Session 1 ►
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