Abstract
Flowering plants have an enormous variety of shapes both within and between individuals, providing a vast area of objectives which the image synthesis must challenge. The structure of a flower has such properties as self-similarity, symmetry, branching arrangement, which make a modeling process quite tedious. We propose to apply mathematical methods to determine botanical natural laws, using 3Gmap L-systems. Describing the structure of a flowering plant with a grammar we are able to obtain an unlimited number of its geometrical interpretations. Our approach combines L-systems grammar writing with interactive control of parameter settings. The L-systems grammars are used for describing the entire model, with stems,stamens, petals, leaves, etc., by simply operating with 3Gmap volumes. The presented contributions will make the task of a user more obvious and intuitive enabling her/him to create more accurate models. 3Gmap L-systems grammars have a nested structure, enabling to use a huge amount of grammars in a more obvious way. Moreover the way the model is built allows us to take into account its internal structure. As the flower tissue is non-homogeneous, the possibility of obtaining its internal composition could be quite useful for rendering, allowing for instance to render more accurate subsurface scattering.
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Petrenko, O., Sbert, M., Terraz, O., Ghazanfarpour, D. (2013). 3Gmap L-Systems Grammar Application to the Modeling of Flowering Plants. In: Plemenos, D., Miaoulis, G. (eds) Intelligent Computer Graphics 2012. Studies in Computational Intelligence, vol 441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31745-3_1
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DOI: https://doi.org/10.1007/978-3-642-31745-3_1
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