A Mathematical Model to Generate 3D Surface

Akash Devgun
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Abstract

When we have n control points on a 2D or 3D space, then using these control points different forms of surface can be constructed. In such case, the construction of a most meaningful surface over these points is the challenging task. The presented work, has defined a fitness function based on the distance and region specification so that only the valid control points and edges will be selected and will avoid the illegal and hidden edges and faces while forming the triangulation. In this work, control points are taken as the initial population for the mathematical process. The process is repeated for specific number of iterations. With each iteration, effective control points, edges and faces get selection.
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生成三维曲面的数学模型
当我们在2D或3D空间上有n个控制点时,那么使用这些控制点可以构建不同形式的表面。在这种情况下,在这些点上构造一个最有意义的曲面是一项具有挑战性的任务。本文定义了基于距离和区域规格的适应度函数,从而在形成三角剖分时只选择有效的控制点和边缘,避免非法和隐藏的边和面。在这项工作中,控制点作为数学过程的初始总体。该过程被重复进行特定次数的迭代。在每次迭代中,选择有效的控制点、边和面。
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