Virtual Photography Using Multi-Objective Particle Swarm Optimization TR

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche

Reference

W. Barry and Brian J. Ross: Virtual Photography Using Multi-Objective Particle Swarm Optimization. Brock COSC TR CS-14-01, January 2014.

DOI

Abstract

Extended Abstract

Bibtex

Used References

[1] R. Abdullah, M. Christie, G. Schofield, C. Lino, and P. Olivier. Advanced composition in virtual camera control. Proc. 11th Intl. Conf. on Smart Graphics (SG 11), pages 13–24, 2011.

[2] Autodesk. 3ds max 2009. http : //usa.autodesk.com/, August 2012.

[3] S. Banerjee and B. Evans. Unsupervised automation of photographic composition rules in digital still cameras. In in Proc. SPIE Conf. on Sensors, Color, Cameras, and Systems for Digital Photography VI, pages 364–373, 2004.

[4] S. Banerjee and B. Evans. In-camera automation of photographic composition rules. Trans. Img. Proc., 16(7):1807–1820, July 2007.

[5] W. Bares. A photographic composition assistant for intelligent virtual 3d camera systems. In A. B. et al., editor, Proc. 6th Intl. Symp. on Smart Graphics, Vancouver, Canada, July 23-25, volume 4073 of LNCS, pages 172–183. Springer, 2006.

[6] W. Bares and B. Kim. Generating virtual camera compositions. In Proc. 6th Intl. Conf. on Intelligent User Interfaces, IUI ’01, pages 9–12, New York, NY, USA, 2001. ACM.

[7] P. Bentley and J. Wakefield. Finding acceptable solutions in the pareto-optimal range using multiobjective genetic algorithms. In P. C. et al., editor, Soft Computing in Engineering Design and Manufacturing, pages 231–240. Springer-Verlag, 1998.

[8] S. Bhattacharya, R. Sukthankar, and M. Shah. A Holistic Approach to Aesthetic Enhancement of Photographs. ACM Trans. Multimedia Comp., Comm. and Apps., 7S(1):1–21, October 2012.

[9] P. Burelli, L. Gaspero, A. Ermetici, and R. Ranon. Virtual camera composition with particle swarm optimization. Proc. 9th Intl. Symp. on Smart Graphics (SG 08), pages 130 – 141, 2008.

P. Burian. Mastering Digital Photography and Imaging. Wiley, 2006.

C. C. Coello, G. Lamont, and D. van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems. Springer-Verlag, New York, 2006.

D. Corne and J. Knowles. Techniques for highly multiobjective optimisation: Some nondominated points are better than others. In Proc. GECCO, pages 773–780, New York, NY, 2007. ACM.

K. Deb. Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, 2009.

S. Desroche, V. Jolivet, and D. Plemenos. Towards plan-based automatic exploration of virtual worlds. Proc. Int’l Conf. Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)., 1:25–32, 2007.

R. Eberhart and J. Kennedy. A new optimizer using particle swarm theory. Proc. IEEE Intl. Conf. Neural Networks, 4:1942 – 1948, 1995.

J. Fieldsend. Multi-objective particle swarm optimisation methods. Technical report, TR419, Dept. Computer Science, U. Exeter, 2004.

B. Fier. Composition Photo Workshop. Wiley, 2007.

M. Freeman. The Photographer’s Eye: Composition & Design for Better Digital Photos. Focal Press, 2007.

L. D. Gaspero, A. Ermetici, and R. Ranon. Swarming in a virtual world: A pso approach to virtual camera composition. ANTS 2008, LNCS 5217:155–166, 2008.

D. Graham and C. Redies. Statistical Regularities in Art: Relations with Visual Coding and Perception. Vision Research, 50:1503–1509, 2010.

C. Lino, M. Christie, R. Ranon, and W. Bares. The directors lens: An intelligent assistant for virtual cinematography. In Proc. 19th ACM Intl. Conf. on Multimedia, pages 323–332, New York, NY, 2011.

L. Liu, R. Chen, L. Wolf, and D. Cohen-Or. Optimizing photo composition. Computer Graphics Forum, 29:469–478, 2010.

N. Michael, J. Fink, and V. Kumar. Cooperative manipulation and transportation with aerial robots. Autonomous Robots, 30(1):73–86, Jan 2011.

S. Mostaghim and J. Teich. Strategies for finding good local guides in multi-objective particle swarm optimization (mopso). In Proc. IEEE Swarm Intelligence Symp., 2003.

M. Preuss, P. Burelli, and G. Yannnakakis. Diversified virtual camera composition. In Proc. European Conf. on Applications of Evolutionary Computation, pages 265–274, Malaga, Spain, 2012. Springer-Verlag.

J. Smith and S. Chang. VisualSEEk: a fully automated content-based image query system. In Proc. 4th ACM Intl. Conf. on Multimedia, pages 87–98. ACM Press, 1996.

F.-L. Zhang, M. Wang, and S.-M. Hu. Aesthetic Image Enhancement by Dependence-Aware Object Re-Composition. IEEE Trans. on Multimedia, 15, June 2013.


Links

Full Text

http://www.cosc.brocku.ca/files/downloads/research/cs1401.pdf

intern file

Sonstige Links