Automatic Generation of Abstract Art

Speaker:  Kang Zhang – Richardson, TX, United States
Topic(s):  Applied Computing


As modern computer graphics and printing technology become increasingly advanced, automatic generation of sophisticated abstract paintings becomes possible. This talk will first introduce the general concepts of aesthetic computing and computational aesthetics, and a 4-level classification in terms of computational power utilized for computer generated art. We will present recent projects on automatic generation of the well-known styles of abstract paintings, such as Pollock, Kandinsky, Miro and Picasso, using the programming language Processing. We start with analysis of the given styles based on specific art theories and our own understanding and observation of their abstract paintings. The generation process is demonstrated with sample generated images styled on some of the best-known paintings. Using parameterization and randomization, every styled image generated can be unique. Finally, we discuss the potential application of this type of work in graphic design and other related fields. 

About this Lecture

Number of Slides:  50
Duration:  50 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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