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P. Burelli and G. N. Yannakakis, "Global Search for Occlusion Minimisation in Virtual Camera Control," in IEEE Congress on Evolutionary Computation, Barcelona, 2010.
@inproceedings{burelli2010cec, 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 anal- ysis 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 algorithmproposed with respect to efficiency, robustness and computational effort.},
address = {Barcelona},
author = {Burelli, Paolo and Yannakakis, Georgios N.},
booktitle = {IEEE Congress on Evolutionary Computation},
file = {:Users/pabu/Library/Application Support/Mendeley Desktop/Downloaded/Burelli, Yannakakis - 2010 - Global Search for Occlusion Minimisation in Virtual Camera Control.pdf:pdf},
publisher = {IEEE},
title = {{Global Search for Occlusion Minimisation in Virtual Camera Control}},
url = {http://www.paoloburelli.com/publications/burelli2010cec.pdf},
year = {2010}
}
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P. Burelli and G. N. Yannakakis, "Combining Local and Global Optimisation for Virtual Camera Control," in IEEE Conference on Computational Intelligence and Games, 2010.
@inproceedings{burelli2010cec, abstract = {Controlling a virtual camera in 3D computer games is a complex task. The camera is required to react to dynamically changing environments and produce high quality visual results and smooth animations. This paper proposes an approach that combines local and global search to solve the virtual camera control problem. The automatic camera control problem is described and it is decomposed into sub-problems; then a hierarchical architecture that solves each sub-problem using the most appropriate optimisation technique is proposed. The approach is compared to pure local search solutions to showcase the advantages of the proposed architecture in terms of visual performance and robustness.},
author = {Burelli, Paolo and Yannakakis, Georgios N.},
booktitle = {IEEE Conference on Computational Intelligence and Games},
file = {:Users/pabu/Library/Application Support/Mendeley Desktop/Downloaded/Burelli, Yannakakis - 2010 - Combining Local and Global Optimisation for Virtual Camera Control.pdf:pdf},
title = {{Combining Local and Global Optimisation for Virtual Camera Control}},
url = {http://www.paoloburelli.com/publications/burelli2010cig.pdf},
year = {2010}
}
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P. Burelli and A. Jhala, "CamOn: A Real-Time Autonomous Camera Control System," in Artificial Intelligence In Interactive Digitale Entertainment Conference, Palo Alto, 2009.
@inproceedings{Burelli2009, abstract = {This demonstration presents CamOn, an autonomous cam- era control system for real-time 3D games. CamOn employs multiple Artificial Potential Fields (APFs), a robot motion planning technique, to control both the location and orienta- tion of the camera. Scene geometry from the 3D environment contributes to the potential field that is used to determine po- sition and movement of the camera. Composition constraints for the camera are modelled as potential fields for controlling the view target of the camera. CamOn combines the compositional benefits of constraint- based camera systems, and improves on real-time motion planning of the camera. Moreover, the recasting of camera constraints into potential fields is visually more accessible to game designers and has the potential to be implemented as a plug-in to 3D level design and editing tools currently avail- able with games. Introduction},
address = {Palo Alto},
author = {Burelli, Paolo and Jhala, Arnav},
booktitle = {Artificial Intelligence In Interactive Digitale Entertainment Conference},
file = {:Users/pabu/Library/Application Support/Mendeley Desktop/Downloaded/Burelli, Jhala - 2009 - CamOn A Real-Time Autonomous Camera Control System.pdf:pdf},
publisher = {AAAI},
title = {{CamOn: A Real-Time Autonomous Camera Control System}},
url = {http://www.aaai.org/ocs/index.php/AIIDE/AIIDE09/paper/view/814/1049},
year = {2009}
}
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P. Burelli and A. Jhala, "Dynamic Artificial Potential Fields for Autonomous Camera Control," in Artificial Intelligence In Interactive Digitale Entertainment Conference, Palo Alto, 2009.
@inproceedings{Burelli2009a, abstract = {Camera control in real-time interactive 3D applications is a challenging problem. Developing a generalized system able to produce high quality visual results and smooth camera movements in dynamic environments remains an open prob- lem in the research community. In this paper, we describe the implementation and evaluation of Artificial Potential Fields for automatic camera placement. We first describe the re- casting of the frame composition problem as a solution to a two particles suspended in an Artificial Potential Field. We demonstrate the application of this technique to control both camera location and camera aim direction. We show that this technique can be successfully used to solve both camera animation and frame composition tasks in dynamic environ- ments in real-time through an example implemented on an existing 3D game engine.},
address = {Palo Alto},
author = {Burelli, Paolo and Jhala, Arnav},
booktitle = {Artificial Intelligence In Interactive Digitale Entertainment Conference},
file = {:Users/pabu/Library/Application Support/Mendeley Desktop/Downloaded/Burelli, Jhala - 2009 - Dynamic Artificial Potential Fields for Autonomous Camera Control.pdf:pdf},
publisher = {AAAI},
title = {{Dynamic Artificial Potential Fields for Autonomous Camera Control}},
url = {http://www.aaai.org/ocs/index.php/AIIDE/AIIDE09/paper/view/813/1068},
year = {2009}
}
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P. Burelli, L. Di Gaspero, A. Ermetici, and R. Ranon, "Virtual Camera Composition with Particle Swarm Optimization," in International symposium on Smart Graphics, 2008, pp. 130-141.
@inproceedings{Burelli2008, abstract = {The Virtual Camera Composition (VCC) problem consists in automatically positioning a camera in a virtual world, such that the resulting image satisfies a set of visual cinematographic properties. In this paper, we propose an approach to VCC based on Particle Swarm Optimization. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al.},
author = {Burelli, Paolo and {Di Gaspero},
Luca and Ermetici, Andrea and Ranon, Roberto},
booktitle = {International symposium on Smart Graphics},
file = {:Users/pabu/Library/Application Support/Mendeley Desktop/Downloaded/Burelli et al. - 2008 - Virtual Camera Composition with Particle Swarm Optimization.pdf:pdf},
pages = {130--141},
publisher = {Springer},
title = {{Virtual Camera Composition with Particle Swarm Optimization}},
url = {http://www.springerlink.com/content/3537510mn27451k5/},
year = {2008}
}
]
