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quadric surface相关的网络例句

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与 quadric surface 相关的网络例句 [注:此内容来源于网络,仅供参考]

To improve the imaging quality of CCD camera and make the lens small in size,compact in structure,the wide field of view optical lens with the standard quadric surface and even aspheric surface was designed.

为提高CCD摄像机的成像质量,同时使镜头结构紧凑、小型化,在大视场光学镜头的设计中,引入标准二次曲面和偶次非球面。

Firstly, quadric surface is approximated with the vertex and its neighboring vertexes of the triangle mesh model, and the first and the second basic quantity are calculated, then estimating the normal and curvature of the mesh vertexes, lastly OpenGL technique is used in realizing the graphics display of the triangle mesh model.

首先根据三角网格模型中的顶点及其邻接点逼近二次曲面,并计算其第一、第二基本量,然后据此估算网格顶点的法失和曲率,最后利用OpenGL技术实现三角网格模型法矢和曲率的显示。

For example, quadratic curve and quadric surface are used as primitive element in most modeling/CAD system. The implicit formulae for computing the intrinsic geometric invariant??

随着对参数曲线曲面研究的深入,早在80年代初苏步青教授等就将几何不变量的研究引入并应用到参数曲线、曲面的研究中,取得了重要的成果[1?

The segmentation results are proper for quadric surface identification and NURBS approximating in reverse engineering.

该算法在大量的噪声网格模型上获得了较好的分割结果,适用于逆向工程中的二次曲面识别和NURBS曲面逼近。

An algorithm of feature surface recognition based on quadric surface fitting and geometry property was presented.

提出了基于二次曲面拟合误差分析和几何属性分析的特征曲面识别算法。

A method is proposed to calculate these features from a general quadric surface fitted at each point.

本文提出了一种从散乱坐标点拟合一般二次曲面,然后估计曲率张量的方法。

Chapter 3 introduces a new fingerprint segmentation method based on quadric surface model, which is the main innovation of this article.

第一章绪论,主要介绍了指纹识别技术的概况及其存在的技术难点;做为开展研究工作的基础,第二章研究并实现了基于块图像的指纹分割方法;第三章详细介绍了本文的主要创新之处——提出并实现使用二次曲面模型进行指纹图像分割的方法;第四章是指纹匹配算法研究,对一种现有的指纹匹配算法进行了一定改进;第五章为总结和探讨。

Theoretic analysis and software simulation have proved that the algorithm is well appropriate for real-time generation of quadric surface images.

传统的实时CIG系统是以多边形小平面为基本的图元的,其可见表面的照明处理多采用G。-urand shading模型。

At last the dissertation presented the algorithm of feature surface recognition based on quadric surface fitting and geometry property.

其次研究了数据的区域分割,并提出了一种基于三角网格的分割算法:通过计算三角网格点几何特征以及已经得到的特征线来识别边界特征,运用区域增长算法对三角网格进行分割。

It is shown that from the comparison among the results with the calculation methods by surface fitting, quadric surface fitting, and other neural network methods, the accuracy by using the standardization of BP neural network algorithm for elevation fitting is more reliable and stable.

将该方法得到的计算结果与平面拟合、二次曲面拟合及其他神经网络方法计算的结果进行对比得出:标准化动量BP神经网络算法求解高程,精度可靠且稳定。

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