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Fast construction of plant architectural models based on substructure decomposition

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Abstract

Plant structure, representing the physical link among different organs, includes many similar substructures. In this paper, a new method is presented to construct plant architectural models of most plant species. The plant structure is decomposed into a stem, a set of lateral substructures and a terminal substructure, which is called substructure decomposition; then based on substructure decomposition, the plant structures are expressed in an iterative way; and further the derivative formula is employed to compute the number of organs in plant structures to get the geometrical sizes of 3D plant organs by borrowing Hydraulic Model. Using 3D organs, a substructure library is built. Based on the substructures stored in substructure library, one can construct 3D plant structure according to certain topological and geometrical rules. The experiments with different plant species are included in this paper to demonstrate the validity of the new method for constructing plant structures. The experimental results show that the approach follows botanical knowledge with high efficiency in constructing plant structures of most plant species. In addition, this method enables users to check the detail information of plant structure.

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Correspondence to Yan HongPing.

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This work is supported by LIAMA and the National Natural Science Foundation of China (Grant No.60073007. “A study on individual virtual plant modeling and visualization”).

YAN HongPing received the Ph.D. degree in pattern recognition and intelligent system from Institute of Automation, the Chinese Academy of Sciences in 2002 and also holds the M.S. degree obtained from Beijing Polytechnic University in automatic control and its applications in 1998. She has recently gone to Iwate University as an invited scientific researcher in Plant Visualization. Her main research interest is computer graphics, pattern recognition and computer vision.

Philippe de Reffye is an expert in plant modeling and visualization. He published a famous paper in SIGGRAPH’88, which provided a new way for plant modeling and visualization. He went to Africa to do plant research for about 15 years, and then he went back to France to work in CIRAD. In 1998, he served as the French director of Sino-French Laboratory of Computer Science, Informatics, Applied Mathematics and Automation at Institute of Automation, the Chinese Academy of Sciences. He has recently returned to INRIA as a professor in plant modeling and visualization.

PAN ChunHong received his Ph.D. degree in pattern recognition and intelligent system from Institute of Automation, the Chinese Academy of Sciences in 2000. After that, he worked on computer vision at University of South California in USA for one year as a visiting researcher. Now he is working in National Laboratory of Pattern Recognition in Institute of Automation, the Chinese Academy of Sciences. His main research interest is pattern recognition and computer vision.

HU BaoGang is an expert in fuzzy control and artificial intelligence. He worked in Canada on fuzzy control and artificial intelligencè for about 10 years, and then he was invited to work in NLPR, Institute of Automation, the Chinese Academy of Sciences in 1997. He has published papers about fuzzy control and artificial intelligence in famous international journals and conferences, such as IEEE Transaction. He is a member of the IEEE Computer Society. Now he is the Chinese director of Sino-French Laboratory of Computer Science, Informatics. Applied Mathematics and Automation at Institute of Automation, the Chinese Academy of Sciences.

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Yan, H., de Reffye, P., Pan, C. et al. Fast construction of plant architectural models based on substructure decomposition. J. Comput. Sci. & Technol. 18, 780–787 (2003). https://doi.org/10.1007/BF02945467

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  • DOI: https://doi.org/10.1007/BF02945467

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