Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22894
Title: | Global search for occlusion minimisation in virtual camera control |
Authors: | Burelli, Paolo Yannakakis, Georgios N. |
Keywords: | Cameras Video games |
Issue Date: | 2010 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Burelli, P., & Yannakakis, G. N. (2010). Global search for occlusion minimisation in virtual camera control. 2010 IEEE World Congress on Computational Intelligence, Barcelona. 2718-2725. |
Abstract: | This paper presents a fast and reliable global-search approach to the problem of virtual camera positioning when multiple objects that need to be within the reach of the camera are fully occluded. For this purpose, a comparative analysis of global-search algorithms is presented for the problem of maximising camera visibility across different tasks of varying complexity and within different real-time windows. A custom-designed genetic algorithm is compared to octree-based search and random search and results showcase the advantages of the genetic algorithm proposed with respect to efficiency, robustness and computational effort. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22894 |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Burelli-WCCI10.pdf | 1.17 MB | Adobe PDF | View/Open |
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