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Computer Vision

Contents

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

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