Abstract
Recently, 3D CG animations have become in great demand for movie and video game industries. As a result, many 3D model and motion data have been created and stored. In this situation, we need any tools that help us to efficiently retrieve required data from such a pool of 3D models and motions. The authors have already proposed a motion retrieval system using Interactive Evolutionary Computation (IEC) based on Genetic Algorithm (GA). In this paper, the authors propose a 3D model retrieval system using the IEC based on GA and clarify the usefulness of the system by showing experimental results of 3D model retrievals practically performed by several users. The results indicate that the proposed system is useful for effectively retrieving required data from a 3D model database including many data more than one thousand.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Assfalg, J., Del, B.A., Pala, P.: Spin images for retrieval of 3D objects by local and global similarity. In: Proc of the 17th International Conference on Pattern Recognition, ICPR 2004 (2004), doi:10.1109/ICPR.2004.1334675
Baker, J.E.: Reducing bias and inefficiency in the selection algorithm. In: Proc. of the Second International Conference on Genetic Algorithms on Genetic Algorithms and their Application, pp. 14–21 (1987)
Chen, D.Y., Tian, X.P., Shen, Y.T., Ouhyoung, M.: On visual similarity based 3D model retrieval. In: Proc. of Eurographics Computer Graphics Forum, EG 2003 (2003), doi:10.1111/1467-8659.00669
Cho, S.B.: Emotional image and musical information retrieval with interactive genetic algorithm. Proc. of the IEEE 92(4), 702–711 (2004), doi:10.1109/JPROC.2004.825900
Elad, M., Tal, A., Ar, S.: Content based retrieval of VRML objects - an iterative and interactive approach. EG Multimedia, 97–108 (2001)
Eshelman, L.J., Schaffer, J.D.: Real-Coded Genetic Algorithms and Interval-Schemata. In: Foundations of Genetic Algorithms 2, pp. 187–202. Morgan Kaufman Publishers, San Mateo (1993)
Herrera, F., Lozano, M., Verdegay, J.L.: Tackling Real-Coded Genetic Algorithm: Operators and Tools for Behavioural Analysis. Journal of Artifitial Intelligence Review 12(4), 265–319 (1998), doi:10.1023/A:1006504901164
Hilaga, M., Shinagawa, Y., Kohmura, T., Kunii, T.L.: Topology matching for fully automatic similarity estimation of 3D shapes. In: Proc. of the 28th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2001 (2001), doi:10.1145/383259.383282
Lai, C.-C., Chen, Y.-C.: Color Image Retrieval Based on Interactive Genetic Algorithm. In: Chien, B.-C., Hong, T.-P., Chen, S.-M., Ali, M. (eds.) IEA/AIE 2009. LNCS, vol. 5579, pp. 343–349. Springer, Heidelberg (2009), doi:10.1007/978-3-642-02568-6_35
McWherter, D., Peabody, M., Regli, W.C., Shokoufandeh, A.: Solid Model Databases: Techniques and Empirical Results. Journal of Computing and Information Science in Engineering (2001), doi:10.1115/1.1430233
Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Program. Springer (1994)
Ohbuchi, R., Osada, K., Furuya, T., Banno, T.: Salient local visual features for shape-based 3D model retrieval. In: IEEE International Conference on Shape Modeling and Applications 2008 (2008), doi:10.1109/SMI.2008.4547955
Ono, I., Kobayashi, S.: A real-coded genetic algorithm for function optimization using the unimodal normal distribution crossover. In: Proc. of the Seventh International Conference on Genetic Algorithms, pp. 246–253 (1997)
Osada, R., Funkhouser, T., Chazelle, B., Dobkin, D.: Shape distributions. Journal of ACM Transactions on Graphics (TOG) 21(4) (2002), doi:10.1145/571647.571648
Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The Princeton Shape Benchmark. In: Proc. of Shape Modeling Applications 2004 (2004), doi:10.1109/SMI.2004.1314504
Takagi, H., Cho, S.B., Noda, T.: Evaluation of an IGA-based image retrieval system using wavelet coefficients. In: IEEE International Conference on Fuzzy Systems (1999), doi:10.1109/FUZZY.1999.790176
Takagi, H.: Interactive Evolutionary Computation: Fusion of the Capacities of EC Optimization and Human Evaluation. Proc. of the IEEE 89(9), 1275–1296 (2001), doi:10.1109/5.949485
Tsutsui, S., Yamamura, M., Higuchi, T.: Multi-parent Recombination with Simplex Crossover in Real Coded Genetic Algorithm. In: Proc. of the 1999 Genetic and Evolutionary Computation Conference (GECCO 1999), pp. 657–664 (1999), doi:10.1007/3-540-45356-3_36
Vandeborre, J.P., Couillet, V., Daoudi, M.: A practical approach for 3D model indexing by combining local and global invariants. In: Proc. of 1st International Symposium on 3D Data Processing Visualization and Transmission, pp. 644–647 (2002), doi:10.1109/TDPVT.2002.1024132
Wakayama, Y., Okajima, S., Takano, S., Okada, Y.: IEC-Based Motion Retrieval System Using Laban Movement Analysis. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds.) KES 2010. LNCS (LNAI), vol. 6279, pp. 251–260. Springer, Heidelberg (2010), doi:10.1007/978-3-642-15384-6_27
Yoo, H.W., Cho, S.B.: Video scene retrieval with interactive genetic algorithm. Multimedia Tools and Applications(2007), doi: 10.1007/s11042-007-0109-8
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Okajima, S., Okada, Y. (2012). IEC-Based 3D Model Retrieval System. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-29934-6_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29933-9
Online ISBN: 978-3-642-29934-6
eBook Packages: EngineeringEngineering (R0)