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Procedural modeling and visualization of multiple leaves

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Abstract

In this study, we propose an effective method of easy and intuitive modeling of various types of multiple leaves from plants, including flowering plants and trees, and of naturally visualizing them. This method consists of two processes. The first is the procedural modeling of leaf venation patterns. The proposed method enables modeling of the growth of leaf veins based on the information of auxin detected from a binary image of a leaf blade. Therefore, a contour-based method is designed to automatically obtain information on the target auxin, required for the growth, according to blade shapes. In addition, the growth of leaf veins is procedurally modeled by dividing the veins into main, lateral, and tertiary veins. To this end, we propose a two-level growth model. The second method we introduce is a color model based on convolution sums of divisor functions to naturally simulate the color patterns of leaf surfaces. This approach automatically defines various color patterns by creating color tables for consistent changes in the convolution sums. In addition, it synthesizes three layers consisting of noise and vein glow maps. Furthermore, we perform experiments to verify whether the proposed method is effective for generating various realistic leaves.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2055834) and first author was supported by the National Institute for Mathematical Sciences (NIMS) grant funded by the Korean government (C21602).

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Authors and Affiliations

  1. Education & Culture, National Institute for Mathematical Sciences, Daejeon, 305-811, South Korea

    Daeyeoul Kim

  2. Department of Software, Catholic University of Pusan, Busan, 609-757, South Korea

    Jinmo Kim

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  1. Daeyeoul Kim
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  2. Jinmo Kim
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Correspondence to Jinmo Kim.

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Communicated by T. Mei.

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Kim, D., Kim, J. Procedural modeling and visualization of multiple leaves. Multimedia Systems 23, 435–449 (2017). https://doi.org/10.1007/s00530-016-0503-z

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