Currently, there is no textbook that reflects the material covered in this class. In-class lectures will mainly be supplemented by portions of the following textbooks:
In addition to lecture slides, I will be posting research papers on the web, as further reading. In some cases, reading portions of these papers will be required. In that case, you will see references to the papers on the Schedule & Notes page.
- Digital Image Processing
By Kenneth R. Castleman This is a basic image processing book. I will be using this book mainly as a reference. Since it contains a lot of material that I will not be covering in the course, I will be assigning selected readings as needed.- Computer Vision: Algorithms and Applications
By Richard Szeliski
Online draft can be found here This is an introductory book on computer vision. As with Castleman, I will be using this book mainly as a reference. Since it contains a lot of material that I will not be covering in the course, I will be assigning selected readings as needed.- Learning OpenCV 3 Computer Vision with Python, 2nd Edition
By J. Minichino and J. Howse This book will be a useful reference for getting familiar with OpenCV, for the programming assignments.
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