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Biologically Inspired Modelling of Flowers

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Computer Vision and Graphics (ICCVG 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12334))

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Abstract

In this work we present a tool for three-dimensional procedural modelling of flowers based on botanical information. The main biological input is floral formulas. It can represent the structure of a flower with numbers, letters and symbols. Based on this notation, a user-friendly interface was created. Artists need to draw several curves and provide floral formula to create a full 3d model. It speeds up the recreation of biologically-correct models and thanks to its implementation in Maya, each flower can be easily customized after creating initial model.

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References

  1. De Craene, L.: Floral Diagrams: An Aid to Understanding Flower Morphology and Evolution. Cambridge University Press (2010). https://books.google.pl/books?id=24p-LgWPA50C

  2. He, K., Gkioxari, G., Dollár, P., Girshick, R.B.: Mask R-CNN. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 2980–2988 (2017)

    Google Scholar 

  3. Ijiri, T., Owada, S., Okabe, M., Igarashi, T.: Floral diagrams and inflorescences: interactive flower modeling using botanical structural constraints. In: ACM SIGGRAPH 2005 Papers, SIGGRAPH 2005, New York, NY, USA, pp. 720–726. Association for Computing Machinery (2005). https://doi.org/10.1145/1186822.1073253

  4. Ijiri, T., Yoshizawa, S., Yokota, H., Igarashi, T.: Flower modeling via X-ray computed tomography. ACM Trans. Graph. 33(4) (2014). https://doi.org/10.1145/2601097.2601124

  5. Holeczek, J., Pawłowska, J.: Puls życia 5. Nowa Era, January 2018

    Google Scholar 

  6. Lintermann, B., Deussen, O.: Interactive modeling of plants. IEEE Comput. Graph. Appl. 19(1), 56–65 (1999). https://doi.org/10.1109/38.736469

    Article  Google Scholar 

  7. Mech, R., Prusinkiewicz, P.: Visual models of plants interacting with their environment. In: Computer Graphics (SIGGRAPH 1996), September 2000

    Google Scholar 

  8. Okabe, M., Owada, S., Igarashi, T.: Interactive design of botanical trees using freehand sketches and example-based editing. Comput. Graph. Forum 24(3), 487–496 (2005). https://doi.org/10.1111/j.1467-8659.2005.00874.x

    Article  Google Scholar 

  9. Prenner, G., Bateman, R., Rudall, P.: Floral formulae updated for routine inclusion in formal taxonomic descriptions. Taxon 59, 241–250 (2010). https://doi.org/10.2307/27757066

    Article  Google Scholar 

  10. Prusinkiewicz, P., Lindenmayer, A.: The Algorithmic Beauty of Plants. Springer, Berlin (1996)

    MATH  Google Scholar 

  11. Tan, P., Fang, T., Xiao, J., Zhao, P., Quan, L.: Single image tree modeling. In: ACM SIGGRAPH Asia 2008 Papers, SIGGRAPH Asia 2008. Association for Computing Machinery, New York (2008). https://doi.org/10.1145/1457515.1409061

  12. Zhang, C., Ye, M., Fu, B., Yang, R.: Data-driven flower petal modeling with botany priors. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 636–643 (2014)

    Google Scholar 

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Correspondence to Łukasz Dąbała .

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Najda, K., Dąbała, Ł. (2020). Biologically Inspired Modelling of Flowers. In: Chmielewski, L.J., Kozera, R., Orłowski, A. (eds) Computer Vision and Graphics. ICCVG 2020. Lecture Notes in Computer Science(), vol 12334. Springer, Cham. https://doi.org/10.1007/978-3-030-59006-2_10

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  • DOI: https://doi.org/10.1007/978-3-030-59006-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59005-5

  • Online ISBN: 978-3-030-59006-2

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