| 1. | The diagrams above indicate some connection with tessellations .
上述各个图解表明了与分格的某种联系。
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| 2. | Indeed, the reader who is slightly familiar with tessellations of the sphere, the eaclidean plane and the hyperbolic plane, can easily prove the following result .
事实上，稍微熟悉球面、欧几里得平面和双曲平面的分格的读者，都能容易地证明出下面的结果。
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| 3. | Direct3d uses this information internally to optimize tessellation
Direct3d在内部使用此信息来优化棋盘形布置。
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| 4. | From foundation to now ， our company participates many projects in shanghai and all over the country ， especially in tessellation and inner decoration
创业至今，企业先后参与了上海和全国各地许多大型工程的施工，尤以在异型拼花和室内工程精装方面见长。
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| 5. | The approach includes ( 1 ) obtaining the cutter - location data based on parameter curves . ( 2 ) tessellation of the trim nurbs surfaces into triangles . ( 3 ) interference detection and tool - position correction
在曲面的参数线上规划刀位轨迹，将曲面用三角片离散逼近，利用刀具曲面与三角片的几何相关性进行干涉检查及刀位修正。
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| 6. | This paper reviews and introduces the major research progress on spatial tessellation , spatial relation , multi - dimensional data modeling , spatio - temporal and dynamic data modeling , multi - scale data modeling
摘要以地理空间实体及其相互间关系的抽象、表达与组织为主线，从三维、时空、尺度等角度出发，进行了多维动态空间数据模型研究。
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| 7. | We use a size changeable adjacent field to describe the topological structure of 3d unorganized points in our algorithm . it can offer essential dynamic information for tessellation and points " normal
算法采用可以控制大小的邻域作为空间散乱数据点的拓扑关系的几何描述，为网格划分和点的法向量的几何描述提供了必要的动态几何信息。
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| 8. | Reading graphics files and dispersing curves and surfaces . after lucubrating current algorithms dispersing trimmed surfaces , the mapping method is adopted . to avoid unnecessary or repeated calculations , a new tessellation algorithm for trimmed surface is introduced
在深入分析目前流行的裁剪曲面离散算法的基础上，采用映射法对裁剪曲面进行离散，并针对面向网络会议的图形浏览器要求图形数据、剖分速度快的特点，提出了一种基于编码的裁剪曲面离散算法； 3
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| 9. | Using the normal and neighbor relationship , classification of scattered data points is realized according to the quadric surface . the typical algorithms of surface reconstruction from 3d scattered data points are introduced , and then we discuss the current surface tessellation algorithms about their adaptive range , low efficiency
本文首先对三维散乱数据点重构曲面的典型算法和现有的曲面网格划分算法进行了分类与比较，针对现有的散乱点曲面重建算法存在的低效率和局限性问题提出了相应的解决方案。
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