Generative Art

Generative Art


By (author) Matt Pearson

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  • Publisher: Manning Publications
  • Format: Paperback | 300 pages
  • Dimensions: 201mm x 203mm x 15mm | 408g
  • Publication date: 1 September 2011
  • Publication City/Country: New York
  • ISBN 10: 1935182625
  • ISBN 13: 9781935182627
  • Illustrations note: figures
  • Sales rank: 76,436

Product description

DESCRIPTIONArtists have always explored new media, and computer-based artistsare no exception. Generative art, an emerging technique where print oronscreen images are created by use of computer algorithms, finds theartistic intersection between programming, computer graphics, andindividual expression.Generative Art presents both the technique and the beauty ofalgorithmic art. In it, you'll find dozens of high-quality examples ofgenerative art, along with the specific programmatic steps author andartist Matt Pearson followed to create each unique piece. The bookincludes concise tutorials for each of the technical componentsrequired to create the book's examples, and it offers countlesssuggestions for how you can combine and reuse the various techniquesto create your own works.< /P>KEY POINTS• Introduction to the principles of algorithmic art• Brief Processing language tutorial• Establishing artistic "ground rules" for a new work• Using random, semi-random, emergent and fractal processes• Finding fresh approaches to the discipline of programming• Sixteen-page full-color section of beautiful artwork

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Author information

Matt Pearson is a writer and coder based in Brighton UK. His popular blog recently won "best blog" at the DiMAS awards. Matt is also the creative force behind the 100 Abandoned Artworks Generative Art project, where you can see many examples of his work.

Table of contents

Introduction: The organic vs. the mechanicalPart 1: Creative Coding 1. Generative art: In theory and practice 2. Processing: A programming language for artists Part 2: Randomness and Noise 3. The wrong way to draw a line4. The wrong way to draw a circle 5. Adding dimensionsPart 3: Complexity 6. Emergence7. Autonomy 8. Fractals