Details of CS4203 (Spring 2026)
| Level: 4 | Type: Theory | Credits: 4.0 |
| Course Code | Course Name | Instructor(s) |
|---|---|---|
| CS4203 | Computer Vision And Image Processing - Fundamentals And Applications | Monidipa Das |
| Preamble |
|---|
| The timing of the chosen NPTEL course(s) should be concurrent to IISER-K class and exam schedule. The student has to register separately for the exam and write the proctored exam conducted by NPTEL in person at any of the designated exam centres. |
| Syllabus |
|---|
| Syllabus:
Week 1: Introduction to Computer Vision and Basic Concepts of Image Formation: Introduction and Goals of Computer Vision and Image Processing, Image Formation Concepts. Week 2: Fundamental Concepts of Image Formation: Radiometry, Geometric Transformations, Geometric Camera Models. Week 3: Fundamental Concepts of Image Formation: Camera Calibration, Image Formation in a Stereo Vision Setup, Image Reconstruction from a Series of Projections. Week 4: Image Processing Concepts: Image Transforms. Week 5: Image Processing Concepts: Image Transforms, Image Enhancement. Week 6: Image Processing Concepts: Image Filtering, Colour Image Processing, Image Segmentation Week 7: Image Descriptors and Features: Texture Descriptors, Colour Features, Edges/Boundaries. Week 8: Image Descriptors and Features: Object Boundary and Shape Representations. Week 9: Image Descriptors and Features: Interest or Corner Point Detectors, Histogram of Oriented Gradients, Scale Invariant Feature Transform, Speeded up Robust Features, Saliency Week 10: Fundamentals of Machine Learning: Linear Regression, Basic Concepts of Decision Functions, Elementary Statistical Decision Theory, Parameter Estimation, Clustering for Knowledge Representation, Dimension Reduction, Linear Discriminant Analysis. Week 11: Applications of Computer Vision: Artificial Neural Network for Pattern Classification, Convolutional Neural Networks, Autoencoders. Week 12: Applications of Computer Vision: Gesture Recognition, Motion Estimation and Object Tracking, Programming Assignments. |
| References |
|---|
| Books and references:
1. Forsyth & Ponce, "Computer Vision-A Modern Approach", Pearson Education. 2. M.K. Bhuyan , "Computer Vision and Image Processing: Fundamentals and Applications", CRC Press, USA, ISBN 9780815370840 - CAT# K338147. 3. Richard Szeliski, Computer Vision- Algorithms & Applications", Springer. |
Course Credit Options
| Sl. No. | Programme | Semester No | Course Choice |
|---|---|---|---|
| 1 | IP | 2 | Not Allowed |
| 2 | IP | 4 | Not Allowed |
| 3 | MP | 2 | Not Allowed |
| 4 | MP | 4 | Not Allowed |
| 5 | MR | 2 | Not Allowed |
| 6 | MR | 4 | Not Allowed |
| 7 | MS | 10 | Elective |
| 8 | MS | 4 | Not Allowed |
| 9 | MS | 6 | Not Allowed |
| 10 | MS | 8 | Elective |
| 11 | RS | 1 | Not Allowed |
| 12 | RS | 2 | Not Allowed |