Please use this identifier to cite or link to this item:
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.
DOI: 10.32657/10356/51121
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
Master Thesis4.28 MBAdobe PDFView/Open

Page view(s) 50

Updated on Dec 3, 2020

Download(s) 50

Updated on Dec 3, 2020

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.