Global search for occlusion minimisation in virtual camera control

Paolo Burelli; Georgios N. Yannakakis

doi:10.1109/CEC.2010.5586503

Global search for occlusion minimisation in virtual camera control

Paolo Burelli
, Georgios N. Yannakakis

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

13 Citations (Scopus)

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.

Original language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
Publisher	IEEE Press
Publication date	1 Jan 2010
DOIs	https://doi.org/10.1109/CEC.2010.5586503
Publication status	Published - 1 Jan 2010
Externally published	Yes
Event	IEEE Congress on Evolutionary Computation - Barcelona, Spain Duration: 18 Jul 2010 → 23 Jul 2010

Conference

Conference	IEEE Congress on Evolutionary Computation
Country/Territory	Spain
City	Barcelona
Period	18/07/2010 → 23/07/2010

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10.1109/CEC.2010.5586503

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title = "Global search for occlusion minimisation in virtual camera control",

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.",

author = "Paolo Burelli and Yannakakis, \{Georgios N.\}",

year = "2010",

month = jan,

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doi = "10.1109/CEC.2010.5586503",

language = "English",

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010",

publisher = "IEEE Press",

note = "IEEE Congress on Evolutionary Computation, IEEE CEC ; Conference date: 18-07-2010 Through 23-07-2010",

}

Global search for occlusion minimisation in virtual camera control. / Burelli, Paolo; Yannakakis, Georgios N.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. IEEE Press, 2010.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Global search for occlusion minimisation in virtual camera control

AU - Burelli, Paolo

AU - Yannakakis, Georgios N.

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N2 - 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.

AB - 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.

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U2 - 10.1109/CEC.2010.5586503

DO - 10.1109/CEC.2010.5586503

M3 - Article in proceeding

AN - SCOPUS:79959456985

BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

PB - IEEE Press

T2 - IEEE Congress on Evolutionary Computation

Y2 - 18 July 2010 through 23 July 2010

ER -

Global search for occlusion minimisation in virtual camera control

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