3Gmap L-systems grammar application to the flowering plants modeling

Autor: Petrenko, Olga, Sbert, Mateu, Terraz, Olivier, Ghazanfarpour, Djamchid
Přispěvatelé: DMI (XLIM-DMI), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Dimitri Plemenos, Georgios Miaoulis
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Intelligent Computer Graphics 2012
Dimitri Plemenos, Georgios Miaoulis. Intelligent Computer Graphics 2012, Springer Berlin Heidelberg, pp.1-22, 2013, Studies in Computational Intelligence, vol. 441, Print : 978-3-642-31744-6; Online : 978-3-642-31745-3. ⟨10.1007/978-3-642-31745-3_1⟩
DOI: 10.1007/978-3-642-31745-3_1⟩
Popis: International audience; 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.
Databáze: OpenAIRE