Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/11364
Title: Virtual 3D camera composition using particle swarm optimization
Authors: Muscat, Miguel
Keywords: Computer graphics -- Computer programs
Three-dimensional imaging
Mathematical optimization
Swarm intelligence
Issue Date: 2015
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. It’s placement and orientation is often controlled manually through direct user input, which can be a lengthy and timeconsuming trial and error task. VCC is a nontrivial problem that attempts to automate this process and has been approached using various different methods. In this project, a PSO approach to VCC is employed to develop a plugin for Daz Studio that generates useful and practical camera positions and resulting images.
Description: B.SC.IT(HONS)
URI: https://www.um.edu.mt/library/oar//handle/123456789/11364
Appears in Collections:Dissertations - FacICT - 2015

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