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|Title:||Interactive autonomous flock brush for non-photorealistic rendering.||Authors:||Huang, Hsueh En.||Keywords:||DRNTU::Engineering::Computer science and engineering::Computer applications::Arts and humanities||Issue Date:||2013||Source:||Huang, H. E. (2013). Interactive autonomous flock brush for non-photorealistic rendering. Master’s thesis, Nanyang Technological University, Singapore.||Abstract:||Art and science are fundamental building blocks of human knowledge. Science is objective and structured. Art is subjective and expressive. In this thesis, we ask the question, "Could there be a logical side to Art?" Perhaps there exist fundamental elements or building blocks in Art that can be exploited and used in a parametric model? For the purposes of our research, we limit the discussion of Art to paintings and sketches. We examine art and art style discovery as a form of Non-photorealistic rendering (NPR). We designed a flock based brush model as the core mechanism for art style rendering. We used a stroke-based, evolutionary approach to NPR in the form of an Interactive Genetic Algorithm (IGA). By using our nature inspired brush model and IGA driven art style discovery prototype, we have re-created existing styles such as Impressionist, Sketch and Pointillism. Our system also serves as a platform to facilitate interactive art style discovery by way of an evolutionary process.||URI:||https://hdl.handle.net/10356/51121||DOI:||10.32657/10356/51121||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Theses|
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