Abstract
Motion blending is a widely used technique for character animation. The main idea is to blend similar motion examples according to blending weights, in order to synthesize new motions parameterizing high level characteristics of interest. We present in this paper an in-depth analysis and comparison of four motion blending techniques: Barycentric interpolation, Radial Basis Function, K-Nearest Neighbors and Inverse Blending optimization. Comparison metrics were designed to measure the performance across different motion categories on criteria including smoothness, parametric error and computation time. We have implemented each method in our character animation platform SmartBody and we present several visualization renderings that provide a window for gleaning insights into the underlying pros and cons of each method in an intuitive way.
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References
Aydin, Y., Nakajima, M.: Database guided computer animation of human grasping using forward and inverse kinematics. Computers & Graphics 23(1), 145–154 (1999)
Bruderlin, A., Williams, L.: Motion signal processing. In: SIGGRAPH 1995, pp. 97–104. ACM, New York (1995)
Camporesi, C., Huang, Y., Kallmann, M.: Interactive Motion Modeling and Parameterization by Direct Demonstration. In: Allbeck, J., Badler, N., Bickmore, T., Pelachaud, C., Safonova, A. (eds.) IVA 2010. LNCS, vol. 6356, pp. 77–90. Springer, Heidelberg (2010)
Cooper, S., Hertzmann, A., Popović, Z.: Active learning for real-time motion controllers. ACM Transactions on Graphics (SIGGRAPH 2007) (August 2007)
Grochow, K., Martin, S., Hertzmann, A., Popović, Z.: Style-based inverse kinematics. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 23(3), 522–531 (2004)
Heck, R., Gleicher, M.: Parametric motion graphs. In: I3D 2007: Proc. of the 2007 Symposium on Interactive 3D Graphics and Games, pp. 129–136. ACM, New York (2007)
Huang, Y., Kallmann, M.: Motion Parameterization with Inverse Blending. In: Boulic, R., Chrysanthou, Y., Komura, T. (eds.) MIG 2010. LNCS, vol. 6459, pp. 242–253. Springer, Heidelberg (2010)
Johansen, R.S.: Automated Semi-Procedural Animation for Character Locomotion. Master’s thesis, Aarhus University, The Netherlands (2009)
Kim, M., Hyun, K., Kim, J., Lee, J.: Synchronized multi-character motion editing. ACM Trans. Graph. 28(3), 79:1–79:9 (July 2009)
Kovar, L., Gleicher, M.: Automated extraction and parameterization of motions in large data sets. ACM Transaction on Graphics (Proceedings of SIGGRAPH) 23(3), 559–568 (2004)
Kwon, T., Shin, S.Y.: Motion modeling for on-line locomotion synthesis. In: SCA 2005: Proceedings of the 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 29–38. ACM, New York (2005)
Levine, S., Lee, Y., Koltun, V., Popović, Z.: Space-time planning with parameterized locomotion controllers. ACM Trans. Graph. 30(3), 23:1–23:11 (2011)
Mukai, T., Kuriyama, S.: Geostatistical motion interpolation. In: ACM SIGGRAPH, pp. 1062–1070. ACM, New York (2005)
Park, S.I., Shin, H.J., Shin, S.Y.: On-line locomotion generation based on motion blending. In: Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2002, pp. 105–111. ACM, New York (2002)
Pettre, J., Laumond, J.P.: A motion capture-based control-space approach for walking mannequins: Research articles. Comput. Animat. Virtual Worlds 17(2), 109–126 (2006), http://dx.doi.org/10.1002/cav.v17:2
Rose, C., Bodenheimer, B., Cohen, M.F.: Verbs and adverbs: Multidimensional motion interpolation. IEEE Computer Graphics and Applications 18, 32–40 (1998)
Rose III, C.F., Sloan, P.P.J., Cohen, M.F.: Artist-directed inverse-kinematics using radial basis function interpolation. Computer Graphics Forum (Proceedings of Eurographics) 20(3), 239–250 (2001)
Safonova, A., Hodgins, J.K.: Construction and optimal search of interpolated motion graphs. In: ACM SIGGRAPH 2007, p. 106. ACM, New York (2007)
Shapiro, A., Kallmann, M., Faloutsos, P.: Interactive motion correction and object manipulation. In: ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 2007, Seattle, April 30-May 2 (2007)
Unuma, M., Anjyo, K., Takeuchi, R.: Fourier principles for emotion-based human figure animation. In: SIGGRAPH 1995, pp. 91–96. ACM, New York (1995)
Wiley, D.J., Hahn, J.K.: Interpolation synthesis of articulated figure motion. IEEE Computer Graphics and Applications 17(6), 39–45 (1997)
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Feng, A., Huang, Y., Kallmann, M., Shapiro, A. (2012). An Analysis of Motion Blending Techniques. In: Kallmann, M., Bekris, K. (eds) Motion in Games. MIG 2012. Lecture Notes in Computer Science, vol 7660. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34710-8_22
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DOI: https://doi.org/10.1007/978-3-642-34710-8_22
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