Self-adaptive gridding method and self-adaptive gridding system of geometric curved surfaces of three-dimensional plant organs

Abstract

The invention discloses a self-adaptive gridding method and a self-adaptive gridding system of geometric curved surfaces of three-dimensional plant organs. The method comprises the following steps: classifying plant organs according to appearance characteristics of the plant organs, and establishing a skeleton model of each plant organ; setting parameters that are necessary to be used in the meshing process of the geometric curved surfaces of the organs aiming at different plant organ types; and carrying out self-adaptive gridding on the geometric curved surfaces of the organs aiming at different plant organ types. The invention can selectively generate plant geometric mesh curved surfaces with different gridding scales and different resolution ratios so as to satisfy the applications of large-scale plant growth visual simulation, plant-canopy light distribution calculation, three-dimensional plant scene real-time drawing, and the like.

Description

technical field [0001] The invention relates to the technical field of three-dimensional modeling in computer graphics, in particular to a plant geometric modeling modeling method and a three-dimensional model grid simplification technology. Background technique [0002] The simulation of natural scenery is a main branch of computer graphics. The diversity and irregularity of plant morphology makes it a great challenge to generate realistic plant models by computer. At present, the purpose of 3D plant modeling mainly comes from two aspects: one is the simulation and visualization of plant growth and development process; the other is the realistic rendering of plant scenes, that is, to create visually pleasing plant forms. Both of these involve the real-time rendering of 3D plant models, that is, the shorter the rendering time, the better, while ensuring a certain sense of reality. This has a wide range of application requirements in large-scale plant growth simulation, com...

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Problems solved by technology

Although this has the characteristics of not relying on the generation of plant models, its disadvantages are also very obvious: First, the calculation efficiency is not high. Since the scale of the entire plant model is often large, the simplification process requires a global search in the entire plant model. The demand for memory and CPU is very large; the second is that it is difficult to maintain the detailed characteristics of different organs. In the 3D plant model, the shape of different organs may vary greatly, so different meshing methods are generally used to generate them. Because of these The post-processing method does not consider the generation process of the mesh surface of each organ, and it is difficult to judge which organ each mesh element belongs to. Therefore, the mesh simplification process is not targeted, and the detailed features of the organ surface are often lost

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