The triangulation method with using a laser is the most widely-used one in this area.
激光三角法测量原理是目前光学测量应用最广泛的方法之一。
The paper presents a new triangulation method suitable for both multiple connected polygonal domains and unconnected constrained data.
本文提出了一种适用于多连通的多边形区域的三角剖分和非连通的受限数据的三角剖分算法。
Through comparing several improvements of laser triangulation method, the advantages, limitation and scope of application are proposed respectively.
分析了几种激光三角测量的改进方法的优点、局限与适用范围。
A solar panel substrate planeness non contact system, which employ declinate optical triangulation method, and bases on virtual precise benchmark, is presented.
介绍了一种采用斜光学三角形测量结构和基于虚拟精密测量基准的太阳帆板平面度无接触测量系统及误差补偿方法。
A new re-triangulation method based on normalized minimum-vertex-distance was presented to avoid long and thin triangles, and it considered the vertex distance and the interior Angle of triangle.
在局部三角化中考虑了三角形内角和顶点距离，采用规格化最小顶点距离法实现局部三角化，避免了狭长三角形出现。
After analysing manifold color clustering methods, we present two unsupervised methods based on 2-d chroma plane, i. e, the density-based triangulation method and the GA-based optimization method.
在分析了多种颜色聚类方法的基础上，提出了2种无监督的二维色度平面颜色聚类方法：基于密度的三角化方法和遗传算法优化方法，并通过实验对2种方法进行了比对分析。
After analysing manifold color clustering methods, we present two unsupervised methods based on 2-d chroma plane, i. e, the density-based triangulation method and the GA-based optimization method.
在分析了多种颜色聚类方法的基础上，提出了2种无监督的二维色度平面颜色聚类方法：基于密度的三角化方法和遗传算法优化方法，并通过实验对2种方法进行了比对分析。
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