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An Evolution Perception Shape Creation Mechanism for 3D Shapes

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Proceedings of 2017 Chinese Intelligent Systems Conference (CISC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 459))

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Abstract

Making use of existing shapes to create creative shapes is a challenging problem in the field of 3D modeling. To resolve this problem, we change the problem of shape creation change into the shape evolution problem and an evolution perception 3D shape creation mechanism (EPSCM) is proposed. The core idea of EPSCM is fittest survive and genetic diversity. On the one hand, we present the shape evolutionary method based on the shape components, including crossover operation, the variant operation and the phagolysis operation, which could evolve diversity shape individuals under the condition of preserving shape functions. on the other hand, we design the evolution multiplication strategies, including structural constrains and fitness selection scheme, so as to further ensure the diversity and adaptability of EPSCM. Experimental results show that EPSCM could obtain novel and creative 3D shapes under the condition limited 3D shapes.

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References

  1. Nguyen DT, Hua BS, Tran MK, et al. A field model for repairing 3D shapes. In: IEEE conference on computer vision and pattern recognition. IEEE; 2016, p. 5676–84.

    Google Scholar 

  2. Jain A, Thormählen T, Ritschel T, et al. Exploring shape variations by 3D-model decomposition and part-based recombination. Comput Graph Forum. 2012;31:631–40.

    Article  Google Scholar 

  3. Alhashim I, Li H, Xu K, et al. Topology-varying 3D shape creation via structural blending. ACM Trans Graph. 2014; 33(4):Article 158.

    Google Scholar 

  4. Christiansen A, Bærentzen J, Morten N, et al. Combined shape and topology optimization of 3D structures. Comput Graph. 2015;46:25–35.

    Article  Google Scholar 

  5. Lin H, Gao J, Zhou Y, et al. Semantic decomposition and reconstruction of residential scenes from LiDAR data. ACM Trans Graph. 2013; 32(4):Article 66.

    Google Scholar 

  6. Kim VG, Li W, Mitra NJ, et al. Learning part-based templates from large collections of 3D shapes. ACM Trans Graph. 2013; 32(4):Article 70.

    Google Scholar 

  7. Kalogerakis E, Chaudhuri S, Koller D, et al. A probabilistic model for component-based shape synthesis. ACM Trans Graph. 2012; 31(4):Article 55.

    Google Scholar 

  8. Han Z, Liu Z, Han J, et al. 3D shape creation by style transfer. Vis Comput. 2015;31(9):1147–61.

    Article  Google Scholar 

  9. Yumer ME, Chaudhuri S, Hodgins JK, et al. Semantic shape editing using deformation handles. ACM Trans Graph. 2015; 34(4):Article 86.

    Google Scholar 

  10. Wang R, Pujos C. Emergence of diversity in a biological evolution model. J Phys Conf Ser. IOP. 2015; 604(1):012019.

    Google Scholar 

  11. Jeddi I, Saiz L. Structure prediction and 3D modeling of single stranded DNA from sequence for aptamer-based biosensors. Biophys J. 2016;110(3):333a.

    Article  Google Scholar 

  12. Chen X, Golovinskiy A, Funkhouser T. A benchmark for 3D mesh segmentation. ACM Trans Graph. 2009;28(3):341–52.

    Article  Google Scholar 

  13. COS. The shape coseg dataset; 2012. http://web.siat.ac.cn/yunhai/ssl/ssd.htm.

  14. Cohen-Or D, Zhang H. From inspired modeling to creative modelling. Vis Comput. 2016;32(1):7–14.

    Article  Google Scholar 

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (61702241, 61602227); The Foundation of the Education Department of Liaoning Province (L2015225, LJYL019) and the Doctoral Starting up Foundation of Science Project of Liaoning Province (201601365).

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Correspondence to Xin Cong .

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Zi, L., Cong, X., Peng, Y., Yang, P. (2018). An Evolution Perception Shape Creation Mechanism for 3D Shapes. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2017 Chinese Intelligent Systems Conference. CISC 2017. Lecture Notes in Electrical Engineering, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-6496-8_34

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  • DOI: https://doi.org/10.1007/978-981-10-6496-8_34

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  • Online ISBN: 978-981-10-6496-8

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