https://github.com/aryashah2k/computer-vision-basics-coursera

A Repository Maintaining My Solutions And Additional Resources For The Course- Computer Vision Basics Offered By University at Buffalo & The State University of New York On Coursera

Science Score: 20.0%

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Low similarity (7.8%) to scientific vocabulary

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computer-vision coursera matlab

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Repository

A Repository Maintaining My Solutions And Additional Resources For The Course- Computer Vision Basics Offered By University at Buffalo & The State University of New York On Coursera

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Host: GitHub
Owner: aryashah2k
License: mit
Language: MATLAB
Default Branch: master
Homepage:
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computer-vision coursera matlab

Created over 5 years ago · Last pushed about 5 years ago

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Readme License

README.md

Computer-Vision-Basics-Coursera

CV Basics

About

A Repository Maintaining My Solutions And Additional Resources For The Course- Computer Vision Basics Offered By University at Buffalo & The State University of New York On Coursera

📖 Table Of Contents

Week 1 : Computer Vision Overview

Week 2 : Colour, Light, Image Formation

Week 3 : Low, Mid, High Level Vision

Week 4 : Mathematics For Computer Vision

📖 Resources

Week 1 Resources

Computer Vision: https://en.wikipedia.org/wiki/Computer_vision
Digital Imaging/Image Acquisition: https://en.wikipedia.org/wiki/Digital_imaging
Computer Graphics: https://en.wikipedia.org/wiki/Computer_graphics
Machine Vision: https://en.wikipedia.org/wiki/Machine_vision
Photogrammetry: https://en.wikipedia.org/wiki/Photogrammetry
A Brief History of Computer Vision: https://www.epicsysinc.com/blog/machine-vision-history
DeepFace: https://en.wikipedia.org/wiki/DeepFace
Applications: https://indatalabs.com/blog/applications-computer-vision-across-industries
Virtual and Augmented Reality: https://www.youtube.com/watch?v=f9MwaH6oGEY

Week 2 Resources

Types of Light Sources: http://ieslightlogic.org/choosing-the-right-light-source-point-linear-and-area/
Pinhole Camera – How it works: https://www.youtube.com/watch?v=_TYwlDsdNcY
Reinventing the Eye: https://medium.com/@verajaneseegers/computer-vision-the-reinvention-of-the-eye-1d741721bf5c
Color Theory: https://en.wikipedia.org/wiki/Color_theory

Week 3 Resources

Three Levels: https://www.albany.edu/~ron/papers/marrlevl.html
Top-down vs. Bottom-up Approaches: http://www.hbcse.tifr.res.in/jrmcont/notespart1/node45.html
Low-Level Image Processing: http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/MARBLE/low/low.htm
Image Matching Techniques: https://arxiv.org/abs/1710.02726
Mid-Level Vision: http://bankslab.berkeley.edu/members/sergei/ALT/Sergei_MidLevelVision.htm
Image Segmentation: https://en.wikipedia.org/wiki/Image_segmentation
High-Level Vision: https://www.ncbi.nlm.nih.gov/pubmed/24552691

Week 4 Resources

Stereo Matching: https://www.sciencedirect.com/topics/engineering/stereo-matching
Experimental Comparison Of Stereo Algorithms: http://www.cs.cornell.edu/~rdz/Papers/SZ-visalg99.pdf
Seam Carving: https://www.analyticsvidhya.com/blog/2020/09/seam-carving-algorithm-a-seemingly-impossible-way-to-resize-an-image/
Binary Image Restoration: https://www.researchgate.net/publication/261235396AnAlgorithmforBinaryImageRestoration
Image Segmentation: https://www.analyticsvidhya.com/blog/2019/04/introduction-image-segmentation-techniques-python/