Learn · Computer Vision And Image Processing - Fundamentals And Applications
Lecture 44 of 53Live Session
Live Session 23-02-2022
Prof. M.K. Bhuyan · IIT Guwahati
Credits and licence
- From
- Computer Vision And Image Processing - Fundamentals And Applications, IIT Guwahati (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Lec 1 : Introduction to Computer Vision
- Lec 2 : Introduction to Digital Image Processing
- Lec 3 : Image Formation: Radiometry
- Lec 4 : Shape From Shading
- Lec 5 : Image Formation: Geometric Camera Models - I
- Lec 6 : Image Formation: Geometric Camera Model - II
- Lec 7 : Image Formation: Geometric Camera Model - III
- Lec 8 : Image Formation in a Stereo Vision Setup
- Lec 9 : Image Reconstruction from a Series of Projections
- Lec 10 : Image Reconstruction from a Series of Projections
- Lec 11 : Image Transforms - I
- Lec 12 : Image Transforms - II
- Lec 13 : Image Transforms - III
- Lec 14 : Image Transforms - IV
- Lec 15 : Image Enhancement.
- Lec 16 : Image Filtering-I
- Lec 17 : Image Filtering-II
- Lec 18 : Colour Image Processing - I
- Lec 19 : Colour Image Processing - II
- Lec 20 : Image Segmentation
- Lec 21 : Image Features and Edge Detection
- Lec 22 : Edge Detection
- Lec 23 : Hough Transform
- Lec 24 : Image Texture Analysis - I
- Lec 25 : Image Texture Analysis - II
- Lec 26 : Object Boundary and Shape Representations - I
- Lec 27 : Object Boundary and Shape Representations - II
- Lec 28 : Interest Point Detectors
- Lec 29 : Image Features - HOG and SIFT
- Lec 30 : Introduction to Machine Learning - I
- Lec 31 : Introduction to Machine Learning - II
- Lec 32 : Introduction to Machine Learning - III
- Lec 33 : Introduction to Machine Learning - IV
- Lec 34 : Introduction to Machine Learning - V
- Lec 35 : Artificial Neural Network for Pattern Classification - I
- Lec 36 : Artificial Neural Network for Pattern Classification - II
- Lec 37 : Introduction to Deep Learning
- Lec 38 : Gesture Recognition
- Lec 39 : Background Modelling and Motion Estimation
- Lec 40 : Object Tracking
- Lec 41 : Programming Examples
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