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基准差
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  reference difference
     A Binocular Stereo Matching Algorithm Based on Reference Difference Gradient
     基于双目视觉的基准差梯度立体匹配法
短句来源
     The spatial relativity of the matching points set was confirmed by calculating the correlations between the multi-peak set and the reference difference. Unique correspondence was obtained by the criterion of maximal correlation coefficient between the multi-peak set and the reference difference.
     通过计算灰度相关复峰集与基准差的相关性,确定匹配点集的空间相关性,采用灰度相关复峰集与基准差相关极大评判准则确定惟一匹配.
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  “基准差”译为未确定词的双语例句
     with on-top measuring device, the measuring precision can not be guaranteed because of the poor positioning accuracy.
     采用上置式量仪,定位基准差,测量精度不能保证。
短句来源
     and compute the reference gradients between the each point within the multi-peak set and the reference point. The unique match is obtained by minimal reference gradient. Take the got match as a new reference point and update new reference point continuously until all feature points in the left (or right) image being done.
     利用左右图像一对已知对应基准点 ,通过计算基准点与复峰集各点间的基准差梯度 ,采用基准差梯度极小化评判标准 ,确定唯一匹配 ,并将匹配结果确定为新的基准点以不断更新基准点 ,直至左 (右 )图像特征点匹配完毕。
短句来源
  相似匹配句对
     A Binocular Stereo Matching Algorithm Based on Reference Difference Gradient
     基于双目视觉的基准梯度立体匹配法
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     The Discussion of Voltage Reference and it's Application
     电压基准
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     length standard;
     长度基准
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     The prognosis of MFH of head and neck is poor.
     预后
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     ⑧poor prognosis.
     预后
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  reference difference
Gradient of reference difference based matching algorithm for image feature point
      
A pair of given corresponding reference points within the left and right images is used to calculate gradients of reference difference between the reference points and each feature point within the multi-peaks set.
      
The unique correspondence is determined by criterion of minimal gradients of reference difference.
      
The gradients of reference difference can be calculated easily by means of pre-setting a pair of obvious feature points in the left and right images as a pair of corresponding reference points.
      
Oneof these variances in the individual bioequivalence criterion measuressubject-by-formulation interaction, the extent to which thetest-reference difference varies from person to person.
      
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This paper deals with the accuracy and the problems of The Chinese National Gravity Standardization Net-1957 (CGSN57). The transfprtnation model of the chinese gravity nets is discussed as well. The available data of common points in both the old and the new nets are used to perform the regression. covariance analysis and systematic error tests. The results show that only a-13. 58 mgal-sized datum shift exists between the CGSN57 and CGSN85. No other systematic errors. such as scale and the latitude-dependent...

This paper deals with the accuracy and the problems of The Chinese National Gravity Standardization Net-1957 (CGSN57). The transfprtnation model of the chinese gravity nets is discussed as well. The available data of common points in both the old and the new nets are used to perform the regression. covariance analysis and systematic error tests. The results show that only a-13. 58 mgal-sized datum shift exists between the CGSN57 and CGSN85. No other systematic errors. such as scale and the latitude-dependent variation error. are significantly indicated. This suggests that it is unnecessary to take the scale error and the nonliear error into account except the datum shift of-13. 58 mgal. in order to carry out the transformation between the 1957-and 1985-national gravity nets.

本文分析了我国1957年国家重力网的精度和问题,探讨了国家重力网的系统转换模式,利用现有的新旧重力网的重合点实际数据进行了回归分析、方差分析和系统误差检验,结果表明在“57网”与“85网”之间,除了—13.58mgal的平均基准差之外,并不存在其它明显的系统误差,特别是看不出有尺度系统差的影响,也不存在差值随纬度变化的任何规律。因此认为将“57网”系统转换成“85网”系统时,可以不必加“尺度系统差改正”,更不用考虑“非线性系统差改正”,建议一律只加一项“基准系统差改正”,其数值应该采用—13.58mgal。

Error matches will be happened inevitably by gray correlation alone due to gray correlation describing the gray similarity of feature points between the stereo image pairs too unilaterally, and their spatial correlations being not considered also. The gray correlation matching technique is utilized to extract multi-peak feature points as an original matching set while binocular stereo matching. Make use of gray gradient limit constraint to optimize the matching set. Adopt a pair of given corresponding reference...

Error matches will be happened inevitably by gray correlation alone due to gray correlation describing the gray similarity of feature points between the stereo image pairs too unilaterally, and their spatial correlations being not considered also. The gray correlation matching technique is utilized to extract multi-peak feature points as an original matching set while binocular stereo matching. Make use of gray gradient limit constraint to optimize the matching set. Adopt a pair of given corresponding reference points in the left and right images; and compute the reference gradients between the each point within the multi-peak set and the reference point. The unique match is obtained by minimal reference gradient. Take the got match as a new reference point and update new reference point continuously until all feature points in the left (or right) image being done. The algorithm mentioned is valid and reliable by 3D reconstruction on a pair of actual natural images with weak texture and the standard piece with given precise 3-D coordinates, respectively.

因灰度相关只是从一个侧面来描述左右图像特征点区域之间的灰度相似性 ,没有考虑特征点之间的空间相关性 ,因此利用灰度间的相似性作为测量标准进行匹配 ,不可避免地出现误匹配 ,提出了在进行双目视觉立体匹配时 ,采用灰度相关匹配技术 ,提取复峰特征点作为初始匹配集 ,采用视差梯度有限约束优化初始匹配集。利用左右图像一对已知对应基准点 ,通过计算基准点与复峰集各点间的基准差梯度 ,采用基准差梯度极小化评判标准 ,确定唯一匹配 ,并将匹配结果确定为新的基准点以不断更新基准点 ,直至左 (右 )图像特征点匹配完毕。通过分别对一幅弱纹理实际自然图像及已知三维坐标标准件的三维重建 ,证实了所提方法的有效性和可靠性。

The gray correlation between correct correspondences is not always located at the maximal peak. The gray correlation technique was adopted to extract the multi-peak feature points with gray correlation coefficients a certain value less the maximal correlation coefficient. Those points acted as a coarse matching set, named, gray correlation multi-peak set. The gray correlation multi-peak set then was optimized by disparity gradient limited constraint. The spatial relativity of the matching points set was confirmed...

The gray correlation between correct correspondences is not always located at the maximal peak. The gray correlation technique was adopted to extract the multi-peak feature points with gray correlation coefficients a certain value less the maximal correlation coefficient. Those points acted as a coarse matching set, named, gray correlation multi-peak set. The gray correlation multi-peak set then was optimized by disparity gradient limited constraint. The spatial relativity of the matching points set was confirmed by calculating the correlations between the multi-peak set and the reference difference. Unique correspondence was obtained by the criterion of maximal correlation coefficient between the multi-peak set and the reference difference. Experimental results prove that the proposed algorithm is feasible and accurate.

针对正确匹配的特征点间的灰度相关值不一定总出现于峰值极大处,提出了采用灰度相关技术,将灰度相关系数小于最大灰度相关系数某一范围的多个峰值特征点作为初始匹配集———灰度相关复峰集.利用视差梯度有限约束,优化灰度相关复峰集.通过计算灰度相关复峰集与基准差的相关性,确定匹配点集的空间相关性,采用灰度相关复峰集与基准差相关极大评判准则确定惟一匹配.通过实验,证实了该匹配方法的有效性和可靠性.

 
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