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Department of Computer Science and Technology

Computer Vision

Course pages 2020–21

Computer Vision

1  Overview, and goals of computer vision

2  Pixels, sensors, and image coding, both wet and dry

3  Neural operations on images

4  Mathematical operations on images

5  Edge detection and its challenges

6  Isotropic, anisotropic, and nonlinear operators

7  Multi-scale analysis and wavelets for visual coding

8  Active contours, boundary descriptors, and SIFT

9  Functional streams, texture, and colour processing

10  Stereo vision, motion, and optical flow

11  Surfaces and reflectance maps

12  Shape representations, codon grammars, and vision as modelling

13  Bayesian inference and statistical classifiers

14  Discriminant functions and convolutional neural networks

15  Face detection and recognition, 2D appearance-based

16  3D face recognition, affect, and Facial Action Coding System

Total duration: 12:16:46