CSE 473/573: Computer Vision and Image Processing

CSE 473/573: Computer Vision and Image Processing

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🙋‍♀️ Syllabus for Spring 2024 🙌

This course is an introduction to those areas of Artificial Intelligence that deal with fundamental issues and techniques of computer vision and image processing. The emphasis is on physical, mathematical, and information-processing aspects of the vision. Topics to be covered include image formation, edge detection and segmentation, convolution, image enhancement techniques, extraction of features such as color, texture, and shape, object detection, 3-D vision, and computer vision system architectures and applications. Together, we will explore fascinating topics related to Computer Vision and Image Processing, including Optical Image Formation, Feature Extraction, Classification, and Recognition.

Instructor

Name Title

Chen Wang

Assistant Professor

   

Spring 2024 Schedule Download ALL Slides

Weeks Tuesday Thursday

Week 01

-

-

1/25

Lec 01: History, Overview

Week 02

1/30

Lec 02: Image Formation I, Camera Systems

2/1

Lec 03: Image Formation II

Week 03

2/6

Lec 04: Morphology

2/8

Lec 05: Filtering

Week 04

2/13

Lec 06: Edge Detection

2/15

Lec 07: Histogram, Pyramids, Feature Detection, and Matching I

Week 05

2/20

Lec 08: Feature Detection and Matching II

2/22

Lec 09: Hough Transform

Week 06

2/27

Lec 10: Alignment and Fitting

2/29

Lec 11: RANSAC, Transforms, Homography

Week 07

3/5

Lec 12: Image Stitching

3/7

Lec 13: Motion and Optical Flow

Week 08

3/12

Lec 14:Stereo Vision I

3/14

Lec 15:Stereo Vision II

Week 09: 03/19 - 03/21

SPRING BREAK

Week 10

3/26

Lec 16: Texture

3/28

Lec 17: Objects & Scenes

Week 11

4/02

Lec 18: Segmentation

4/04

Lec 19: Classification and Recognition I

Week 12

4/09

Lec 20: Classification and Recognition II

4/11

Lec 21: Instance Retrieval

Week 13

4/16

Lec 22: Object Detection

4/18

Lec 23: Face Detection, Boosting

Week 14

4/23

Lec 24: Multi-layer Perceptron

4/25

Lec 25: Intro to Deep Learning

Week 15

4/30

No Class

5/02

No Class

Week 16

5/07

No Class

5/09

No Class

Week 17

5/14

Final Exam

Projects

Homeworks

Acknowledgement

Many materials are derived from Prof. David Doermann’s course slides. We give special thanks to Prof. Junsong Yuan and Prof. Nalini Ratha for providing fruitful suggestions. We also thank numerous generous researchers for contributing to the contents, which include but are not limited to K. Kitani, K. Grauman, S. Seitz, S. Marschner, M. Hebert, Fei-Fei Li, L. Lazebnik, R. Szeliski, A. Efros, A. Oliva, B. Leibe, D. Hoiem, A. Moore, and D. Lowe, etc.