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同名点的英文

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"同名点"怎么读用"同名点"造句

英文翻译手机手机版

  • same place

例句与用法

  • A matching method of homonymy points on grain - lacking object
    缺乏纹理目标同名点匹配方法
  • Automatic matching of tie - points with high - resolution sar images
    影像同名点自动匹配技术
  • The generation of epipolar image and corresponding point matching are implemented based on the geometric relationship of stereo pairs determined by relative orientation . the experimental result makes good effection
    摘要根据车载纵向摄影影像核线排列的特点,利用相对定向确定立体像对的核线几何关系生成核线影像,并进行同名点匹配,取得了很好的效果。
  • First , we identify the homonymous points using normalized product correlation to revise the geometry distortion . in this method , the linear combination of correlation ' s three features is considered to improve the matching probability of homonymous points
    本文首先选取同名点以校正几何形变,采用归一化积相关函数为选取准则,并以相关曲面的三个特征量的线性组合来评价选取的同名点,提高匹配率。
  • This paper proposes a practical method of automatic acquisition cognominal points in system of binocular stereo vision , which provides necessary parameter for camera relative calibration , moreover it presents farther study in acquiring and matching feature points
    提出了一种新的方法来进行双目立体视觉系统同名点的自动提取,对现有的特征点匹配方法进行了改进,通过对同名点的自动提取,获取了摄像机相对校准所必需的参数
  • Through analyses of epipolarity geometry of the linear ccd push - broom images and frame perspective images , based on the projection track method , epipolarity of linear ccd push - broom image is established and the properties of epipolarity curves is discussed , and a new epipolarity model based on the simplified push - broom sensor model is proposed . for stereo images of frame perspective and linear perspective , how to set up of epipolarity is studied in terms of fundamental matrix in computer vision , and an algorithm of epipolarity solution that only depends on coordinates relation of identical point is presented . 4
    通过线阵ccd推扫式影像和框幅式中心投影影像核线理论的对比研究,利用投影轨迹法建立了线阵ccd推扫式影像的核线模型,分析和总结了它的基本特性;针对基于共线方程的简化传感器模型,提出了一种新的核线模型;对框幅式中心投影立体影像和线阵ccd推扫式立体影像,利用计算机视觉中的基本矩阵研究核线关系的建立,提出了一种单纯依靠同名点坐标关系的核线模型解法; 4
  • The method we designed first selects local area with typical object and extracts edge information from these object , then feature points is matched using a criterion combined with edge shape and gray - level information . in such steps , we obtain robust and steady control point using for image registration
    本文描述的方法通过选取图像中的典型区域,利用地物特点提取边缘特征,并利用边缘形状信息和局部灰度统计信息结合作为特征点提取及同名点匹配的判别准则,可得到符合地物性质及直观认识的匹配特征点。
用"同名点"造句  
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