The Study of Corn Model Based on Collision Detection

Wei Zhao, Nan Jiang
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Abstract

In this paper, with corn as the research object, according to their physiological and morphological characteristics of corn to establish the appropriate model. In the modeling process, firstly, based on Green-Maize model to build the mode of corn production; Secondly, from the perspective of the establishment of its skeleton model, building the corn plant at different times to make a dynamic expression in key-frame technology; meanwhile, make use of the method of spline interpolation to draw the model of the corn leaf, the model makes the plant more vivid; Finally, I will add collision detection technology to the corn model, and use the key points storage to improve the time complexity of collision detection. This new method of the corn model improves the image more vivid, true and reliable. At the same time, the model can be widely applied to agricultural areas as well, which will greatly enhance the level of agricultural information.
基于碰撞检测的玉米模型研究
本文以玉米为研究对象,根据其生理形态特征建立相应的玉米模型。在建模过程中,首先基于绿玉米模型构建玉米生产模式;其次,从建立其骨架模型的角度出发,利用关键帧技术对不同时期的玉米植株进行动态表达;同时,利用样条插值法绘制玉米叶片的模型,使植株更加逼真;最后,我将在玉米模型中加入碰撞检测技术,并利用关键点存储来提高碰撞检测的时间复杂度。这种玉米模型的新方法使图像更加逼真、真实、可靠。同时,该模型也可广泛应用于农业领域,将大大提高农业信息化水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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