Plant collision detection method for virtual simulation of plant population
A technology of collision detection and virtual simulation, applied in the field of plant group collision detection, can solve problems such as low efficiency and poor accuracy of collision detection methods, achieve high application value, improve collision detection efficiency, and improve construction efficiency
Active Publication Date: 2018-09-18
ZHEJIANG UNIV OF TECH
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[0004] In order to overcome the shortcomings of poor accuracy and low efficiency of the existing collision detection methods for plant populations, and to complete the collision detection work of specific plant populations more accurately and efficiently, the present invention utilizes the morphological characteristics of tomato plants to optimize the The algorithm for constructing the bounding volume tree of tomato plants designed a large-scale tomato group collision detection scheme, which improved the accuracy and calculation efficiency of tomato plant collision detection.
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[0023] The present invention will be further described below in conjunction with the accompanying drawings.
[0024] refer to figure 1 , a plant collision detection method for virtual simulation of plant populations, through the growth characteristics and physiological structure of tomato plants, the tomato plant model is divided into a structure tree formed by multiple substructures, and a suitable enclosing structure is constructed for each substructure Finally, according to the tomato structure tree, the hybrid bounding volume tree of tomato plants is generated, and the tomato plant group collision detection is performed by using the mixed bounding volume tree. Among them, the principle and structure of the bounding volume used are as follows:
[0025] OBB (Oriented Bounding Box) is a commonly used bounding volume (Bounding Volume), which is defined as the smallest cuboid that contains the target object and can take any direction in space. In the present invention, in ord...
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Provided in the invention is a plant collision detection method for virtual simulation of a plant population. On the basis of combination of growth characteristics and physiological structures of tomato plants, a tomato plant model is divided into structure trees formed by a plurality of substructures; a proper bounding body is formed for each sub structure; and then hybrid bounding trees of tomato plants are generated based on the tomato structure trees. According to the invention, with the hybrid bounding trees, the high-efficiency tomato population plant collision detection and internal organ collision detection of plants are realized. The method is suitable for performing collision detection of a group of tomato plants.
Description
technical field [0001] The invention relates to a plant group collision detection method of mixed bounding volume trees, which is suitable for the collision detection of group tomato plants. technical background [0002] Plant group is the most common scene in nature, and it is also one of the basic elements that constitute a three-dimensional scene. Realistically simulating plant group scenes has important application value in many fields such as film and television entertainment, game and advertisement design, garden planning and community design. In addition, the accurate virtual plant population model can also provide a virtual platform for the research of many agricultural scientific issues, such as the optimization of crop planting spacing and density, and the cultivation of ideal plant types. In recent years, the modeling, simulation and visualization of plant groups has become a research hotspot in computer science, applied mathematics, botany, biology and ecology. ...
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IPC IPC(8): G06N3/00
CPCG06N3/006
Inventor 丁维龙徐岩陈凯徐彬万臧鑫
Owner ZHEJIANG UNIV OF TECH