🙋♀️ Syllabus for Spring 2023 🙌
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.
Lecturer
| Name | Title | |
|---|---|---|
 |
Assistant Professor |
Spring 2023 Schedule 
| Weeks | Tuesday | Thursday |
|---|---|---|
|
Week 01 |
01/31 Lec 01: History, Overview |
02/02 Lec 02: Image Formation, Camera Systems |
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Week 02 |
02/07 Lec 03: Image Formation |
02/09 Lec 04: Image Processing |
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Week 03 |
02/14 Lec 05: Filtering |
02/16 Lec 06: Edge Detection |
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Week 04 |
02/21 Lec 07: Histogram, Pryamids, Feature Detection I |
02/23 Lec 08: Feature Detection and Matching II |
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Week 05 |
02/28 Lec 09: Hough Transform |
03/02 Lec 10: Alignment and Fitting |
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Week 06 |
03/07 Lec 11: RANSAC, Transform, Homography |
03/09 Lec 12: Image Stitching |
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Week 07 |
03/14 Lec 13: Texture |
03/16 Lec 14: Objects & Scenes |
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Week 08: 03/20 - 03/24 SPRING BREAK |
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Week 09 |
03/28 Lec 15: Morphology |
03/30 Lec 16: Segmentation |
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Week 10 |
04/04 Lec 17: Classification and Recognition I |
04/06 Lec 18: Classification and Recognition II |
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Week 11 |
04/11 Lec 19: Instance Retrieval |
04/13 Lec 20: Object Detection |
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Week 12 |
04/18 Lec 21: Face Detection, Boosting |
04/20 Lec 22: Motion and Optical Flow |
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Week 13 |
04/25 Lec 23: Stereo Vision I |
04/27 Lec 24: Stereo Vision II |
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Week 14 |
05/02 Lec 25: Multi-layer Perceptron |
05/04 Lec 26: Intro to Deep Learning |
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Week 15 |
05/09 Lec 27: No Class |
05/11 No Class |
|
Week 16 |
05/16 No Class |
05/18 Final Exam |
Projects
Project 1: Coordinate Transformation and Camera Calibration
- Accept the GitHub classroom assignment
Project 2: Image Stitching and Panorama
- Accept the GitHub classroom assignment
Project 3: Face Detection and Recognition Project
- Accept the GitHub classroom assignment
Homeworks
- We provide
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.
