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Title: Virtual 3D camera composition using particle swarm optimization
Authors: Muscat, Miguel (2015)
Keywords: Computer graphics
Computer vision
Image processing
Pattern recognition systems
Issue Date: 2015
Citation: Muscat, M. (2015). Virtual 3D camera composition using particle swarm optimization (Bachelor's dissertation).
Abstract: In 3D graphics applications, the virtual camera plays a fundamental role in any 3D computer graphics interactive application, acting as the window of vision through which the virtual world is perceived. Camera placement and orientation is typically done manually through direct user input, which is often a lengthy and time-consuming process of trial and error. Visual Camera Composition (VCC) is a non-trivial problem that attempts to automate this process and has been approached using various different methods. In this project, a Particle Swarm Optimization (PSO) approach to VCC is employed to develop a plugin for Daz Studio that generates useful and practical camera positions.
Description: B.Sc. IT (Hons)(Melit.)
Appears in Collections:Dissertations - FacICT - 2015
Dissertations - FacICTCIS - 2010-2015

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