Abstract
This paper presents a study on the role of dynamic motions in the creation and perception processes of action-art paintings. Although there is a lot of interest and some qualitative knowledge around, there are no quantitative models in the scientific computing sense about this process yet. To create such models and implement them on a robotic platform is the objective of our work. Therefore, we performed motion capture experiments with an artist and reconstructed the recorded motions by fitting the data to a rigid-body model of the artist’s arm. A second model of a 6-DOF robotic platform is used to generate new motions by means of optimization and optimal control algorithms. Additionally, we present an image analysis framework that computes certain image characteristics related to aesthetic perception and a web tool that we developed to perform online sorting and cluster studies with participants. We present first results concerning motion reconstruction and perception studies and give an outlook to what will be the next steps towards an autonomous painting robotic platform.
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References
Rosenberg, H.: The American action painters. Art News 51/8, 22 1952
Felis, M., Mombaur, K.: Modeling and optimization of human walking. Cognitive Systems Monographs, Springer LNEE. 18, 31–42 (2013)
Leder, H., Belke, B., Oeberst, A., Augustin, D.: A model of aesthetic appreciation and aesthetic judgments. Br. J. Psychol. 95(4), 489–508 (2004)
Buxbaum, L.J., Kyle, K.M., Menon, R.: On beyond mirror neurons: internal representations subserving imitation and recognition of skilled object-related actions in humans. Cogn. Brain Res. 25, 226–239 (2005)
Urgesi, C., Moro, V., Candidi, M., Aglioti, S.M.: Mapping implied body actions in the human motor system. J. Neurosci. 26, 7942–7949 (2006)
Knoblich, G., Seigerschmidt, W., Flach, R., Prinz, W.: Authorship effects in the prediction of handwriting strokes: evidence for action simulation during action perception. Q. J. Exp. Psychol. 55(3), 1027–1046 (2002)
Freedberg, D., Gallese, V.: Motion, emotion and empathy in esthetic experience. Trends Cogn. Sci. 11, 197–203 (2007)
Taylor, J.E.T., Witt, J.K., Grimaldi, P.J.: Uncovering the connection between artist and audience: viewing painted brushstrokes evokes corresponding action representations in the observer. Cognition 125(1), 26–36 (2012)
Bradski, G.: The OpenCV library. Dr. Dobb’s J. Softw. Tools 25, 120–126 (2000)
Ducati, D.: Computergestützte Bildanalyse in der Robotik. Thesis, IWR, University of Heidelberg (2012)
Taylor, R.P., Micolich, A.P., Jonas, D.: Fractal analysis of Pollock’s drip paintings. Nature 399, 422 (1999)
Bock, H.G., Plitt, K.J.: A multiple shooting algorithm for direct solution of optimal control problems. In: Proceedings 9th IFAC World Congress, Budapest. Pergamon Press, pp. 242–247 (1984)
Leineweber, D.B., Bauer, I., Bock, H.G., Schlöder, J.P.: An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization – part I: theoretical aspects. Comput. Chem. Eng. 27, 157–166 (2003)
Felis, M.: RBDL – the Rigid Body Dynamics Library (2011). http://rbdl.bitbucket.org.Cited15May2012
Schultz, G., Mombaur, K.: Modeling and optimal control of human-like running. IEEE/ASME Trans. Mechatron. 15(5), 783–792, (2010, published online 2009)
Felis, M., Mombaur, K., Berthoz, A.: Mathematical modeling of emotional body language during human walking. In: Modeling, Simulation and Optimization of Complex Processes - HPSC 2012, Proceedings of the 5th International Conference on HPSC, March 5-9, 2012, Hanoi, Vietnam
Raschke, M., Mombaur, K., Schubert, A.: An optimisation-based robot platform for the generation of action paintings. Int. J. Arts Technol. 4(2), 181–195 (2011)
de Leva, P.: Adjustments to Zatsiorsky-Seluyanov’s segment inertia parameters. J. Biomech. 29(9), 1223–1230 (1996)
Mombaur, K., Truong, A., Laumond, J-P.: From human to humanoid locomotion – an inverse optimal control approach. Auton. Robots 28(3), 369–383 (2010)
Hatz, K., Schlöder, J.P., Bock, H.G.: Estimating parameters in optimal control problems. SIAM J. Sci. Comput. 34(3), A1707–A1728 (2012)
Acknowledgements
The authors want to thank the Simulation and Optimization research group of IWR at the University of Heidelberg for the permission to work with the software package MUSCOD-II. We greatfully acknowledge financial and scientific support that was given by the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, funded by DFG (Deutsche Forschungsgemeinschaft). We also greatfully acknowledge financial travel support granted by DAAD (Deutscher Akademischer Austauschdienst). Finally, we want to thank Nicole Suska for the possibility to perform motion capture experiments with her.
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Schubert, A., Mombaur, K., Funke, J. (2014). Mathematical Models of Perception and Generation of Art Works by Dynamic Motions. In: Bock, H., Hoang, X., Rannacher, R., Schlöder, J. (eds) Modeling, Simulation and Optimization of Complex Processes - HPSC 2012. Springer, Cham. https://doi.org/10.1007/978-3-319-09063-4_17
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DOI: https://doi.org/10.1007/978-3-319-09063-4_17
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