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Total Size:
37.6 MB
Info Hash:
4574F36916FE6F83D9769462A934B70ECD60415F
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Added:
March 2, 2026, 2:20 a.m.
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(Last updated: March 2, 2026, 2:21 a.m.)
| File | Size |
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| Parker J. Generative Art and Computer Vision. A Comprehensive Guide...2026.pdf | 37.6 MB |
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| Uploaded by indexFroggy | Size 529.4 MB | Health [ 18 /10 ] | Added 2023-07-01 |
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NOTE
SOURCE: Parker J. Generative Art and Computer Vision. A Comprehensive Guide...2026
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COVER
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MEDIAINFO
Textbook in PDF format
Understand how to combine computer vision and generative art. The book shows how computer vision methods can be applied to art.
The book will start with an introductory chapter on computer vision and generative art followed by chapters on specific means of producing genre artworks generatively. The following seven chapters deal with the seven traditional bases for art education (i.e., elements of art: line, value, color, shape, texture, form, and space); each will show specifically how machine vision and computer graphic methods can be applied to that element.
The book provides a comprehensive view of combining machine vision and art; some of the code provided has no analogy elsewhere.
The book is intended to explain:
What exactly is generative art?
What does a generative artist do and know?
How does one start creating generative artwork?
What resources are out there to help artists who are not really programmers, or programmers who are not really artist?
You Will:
Find out about extracting line data from images as well as drawing lines
Understand contrast and brightness enhancements
Learn about subtractive color schemes and Munsell color in a practical way
Who Is This Book For:
Generative artists who don't program well or at all will greatly appreciate this book. There will be plenty of material for those who do not code, including simple code and an appendix to help them get started.
Contents:
About the Author
About the Technical Reviewer
Art, Vision, and Computers
Line
Value
Dynamism
Appendix I: Math for Generative Art
Appendix II: Programming in Processing
References
Index
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