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CS-442
Vision Applications
3D Surface Modeling (optional)
3D Surface Modeling (optional)
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Surf.pdf
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◄ Video-Based Surveillance (optional)
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Course Introduction
Human Vision
Image Formation
Computer Vision: Algorithms and Applications. Chapter 2.1
Edge Detection
Computer Vision: Algorithms and Applications. Chapter 7.2.
Deep Learning
Computer Vision: Algorithms and Applications. Chapters 5.3 and 5.4.
Delineation
Computer Vision: Algorithms and Applications. Chapters 7.3.
Level Set Methods: An Overview
Deformable Models for Cartographic Modeling
Segmentation
Computer Vision: Algorithms and Applications. Chapter 7.5.
Transformers in Natural Language Processing (NLP)
Texture
The Discrete Fourier Transform: Bracewell, chapter 11.
Shape from Texture
Shape from Shading
Computer Vision: Algorithms and Applications. Chapter 13.1.
Shape from Stereo
Nerfs
Computer Vision: Algorithms and Applications. Chapter 12.
Shape from Contours
Deep Surfaces
Shape from Motion
Computer Vision: Algorithms and Applications. Chapter 11.4.
Video-Based Surveillance (optional)
Conclusion
Exercise Session 1
Exercise Session 1 with solutions
Python support material
Exercise session 2
Exercise Session 2 Answers
GE1 2023 - solution
GE1 2023
Graded Exercise 1- Submission Link
Graded Exercise 1 - Files
Graded Exercise 1 - Solution
Exercise Session 4
Exercise Session 4 Answers
Exercise Session 5
Exercise Session 5 Answers
Graded Exercise 2 - Submission Link
GE2 - Shape from Contour
GE2 2024 Shape from Contour - Solution
Exercise Session 7
Exercise Session 7 Answers
Mock Exam 2020
Mock Exam 2021
Mock Exam Answers 2021
Conclusion ►
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