Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterly Rendering: Unterschied zwischen den Versionen
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19. Kennedy, J., Kennedy, J.F., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann, San Francisco (2001) | 19. Kennedy, J., Kennedy, J.F., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann, San Francisco (2001) | ||
− | 20. [[Craig Reynolds]]: [[ Flocks, herds, schools. A distributed behavioural model]]. ACM SIGGRAPH Computer Graphics, 21(4), 1987, 25-34. http://dx.doi.org/10.1145/37402.37406 http://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/ | + | 20. [[Craig Reynolds]]: [[Flocks, herds, schools. A distributed behavioural model]]. ACM SIGGRAPH Computer Graphics, 21(4), 1987, 25-34. http://dx.doi.org/10.1145/37402.37406 http://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/ |
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Aktuelle Version vom 13. Juni 2016, 23:37 Uhr
Inhaltsverzeichnis
Referenz
Tieta Putri, Ramakrishnan Mukundan: Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterly Rendering. In: EvoMUSART 2016, 152-162.
DOI
http://dx.doi.org/10.1007/978-3-319-31008-4_11
Abstract
Painterly algorithms form an important part of non-photorealistic rendering (NPR) techniques where the primary aim is to incorporate expressive and stylistic qualities in the output. Extraction, representation and analysis of brush stroke parameters are essential for mapping artistic styles in stroke based rendering (SBR) applications. In this paper, we present a novel iterative method for extracting brush stroke regions and paths for aiding a particle swarm based SBR process. The algorithm and its implementation aspects are discussed in detail. Experimental results are presented showing the painterly rendering of input images and the extracted brush paths.
Extended Abstract
Bibtex
@incollection{ year={2016}, isbn={978-3-319-31007-7}, booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design}, volume={9596}, series={Lecture Notes in Computer Science}, editor={Johnson, Colin and Ciesielski, Vic and Correia, João and Machado, Penousal}, doi={http://dx.doi.org/10.1007/978-3-319-16498-4_11}, title={Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterly Rendering}, url={http://link.springer.com/chapter/10.1007/978-3-319-31008-4_11 http://de.evo-art.org/index.php?title=Iterative_Brush_Path_Extraction_Algorithm_for_Aiding_Flock_Brush_Simulation_of_Stroke-Based_Painterly_Rendering}, publisher={Springer International Publishing}, keywords={Computational intelligence, Non-photorealistic rendering, Brush stroke extraction, Painterly rendering, Flock simulation, Autonomous agents, Swarm intelligence}, author={Putri, Tieta and Mukundan, Ramakrishnan}, pages={152-162}, language={English} }
Used References
1. Gooch, B., Gooch, A. (2001). Non-photorealistic rendering. A.K. Peters, ISBN-13: 978-1568811338. http://www.cs.utah.edu/npr/ 404
2. Hertzmann, A.: A Survey of Stroke-based rendering. In: IEEE Computer Graphics and Application, vol. 4, pp. 70–81. IEEE Press, New York (2003)
3. Whitted, T.: Anti-aliased line drawing using brush extrusion. Assoc. Comput. Machi. Spec. Interest Group Comput. Graph. Interact. Techn. Comput. Graph. 17(3), 151–156 (1983). ACM
4. Strassman, S.: Hairy brush. Assoc. Comput. Machi. Spec. Interest Group Comput. Graph. Interact. Techn. Comput. Graph. 20(4), 225–232 (1986)
5. Pham, B.: Expressive brush strokes. Comput. Vis. Graph. Image Process. Graph. Models Image Process. 53(1), 1–6 (1991). ElsevierMATH
6. Pudet, T.: Real time fitting of hand-sketched pressure brushstrokes. Comput. Graph. Forum 13(3), 205–220 (1994). http://dx.doi.org/10.1111/1467-8659.1330205
7. Hertzmann, A.: Painterly rendering with curved brush strokes of multiple sizes. In: 25th Annual Conference on Computer graphics and Interactive Techniques 1998, pp. 453–460. ACM (1998)
8. Huang, H.E., Lim, M.H., Chen, X., Ho, C.S.: Interactive GA flock brush for non-photorealistic rendering. In: Bui, L.T., Ong, Y.S., Hoai, N.X., Ishibuchi, H., Suganthan, P.N. (eds.) SEAL 2012. LNCS, vol. 7673, pp. 480–490. Springer, Heidelberg (2012) http://dx.doi.org/10.1007/978-3-642-34859-4_48
9. Li, J., Yao, L., Hendriks, E., Wang, J.Z.: Rhythmic brushstrokes distinguish Van Gogh from his contemporaries: findings via automated brushstroke extraction. IEEE Trans. Pattern Anal. Mach. Intell. 34(6), 1159–1176 (2012). http://dx.doi.org/10.1109/TPAMI.2011.203
10. Meer, P., Georgescu, B.: Edge detection with embedded confidence. IEEE Trans. Pattern Anal. Machine Intell. 23(12), 1351–1365 (2001). http://dx.doi.org/10.1109/34.977560
11. Johnson Jr., C.R., Hendriks, E., Berezhnoy, I.J., Brevdo, E., Hughes, S.M., Daubechies, I., Li, J., Postma, E., Wang, J.Z.: Image processing for artist identification. IEEE Sig. Process. Mag. 25(4), 37–48 (2008). http://dx.doi.org/10.1109/MSP.2008.923513
12. Berezhnoy, I.E., Postma, E., Van Den Herik, H.J.: Automatic extraction of brushstroke orientation from paintings. Mach. Vis. Appl. 20(1), 1–9 (2009). http://dx.doi.org/10.1007/s00138-007-0098-7
13. Seo, S., Lee, H.: Pixel based stroke generation for painterly effect using maximum homogeneity neighbor filter. Multimedia Tools Appl. 74(10), 3317–3328 (2015). http://dx.doi.org/10.1007/s11042-013-1835-8
14. Gooch, B., Coombe, G., Shirley, P.: Artistic vision: painterly rendering using computer vision techniques. In: 2nd International Symposium on Non-photorealistic Animation and Rendering 2002, pp. 83-ff. ACM (2002)
15. Obaid, M., Mukundan, R., Bell, T.: Enhancement of moment based painterly rendering using connected components. In: International Conference on Computer Graphics, Imaging and Visualization 2006, Sydney, pp 378–383. IEEE (2006)
16. Reinhard, E., Khan, E.A., Akyuz, A.O., Johnson, G.: Colour Imaging: Fundamentals and Applications. AK Peters Ltd, Wellesley (2008)
17. Connolly, C., Fleiss, T.: A study of efficiency and accuracy in the transformation from RGB to CIELAB colour space. IEEE Trans. Image Process. 6(7), 1046–1048 (1997). http://dx.doi.org/10.1109/83.597279
18. Huang, H. E., Ong, Y. S., Chen, X.: Autonomous flock brush for non-photorealistic rendering. In: IEEE Congress on Evolutionary Computation 2012, pp. 1–8. IEEE (2012) http://dx.doi.org/10.1109/CEC.2012.6256601
19. Kennedy, J., Kennedy, J.F., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann, San Francisco (2001)
20. Craig Reynolds: Flocks, herds, schools. A distributed behavioural model. ACM SIGGRAPH Computer Graphics, 21(4), 1987, 25-34. http://dx.doi.org/10.1145/37402.37406 http://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/
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