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euclidean distance中文是什么意思
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- 中文翻译
- 造句
- 欧几里德度量
- 欧几里德规则
- 欧几里德距离
- 欧几里得距离
- 欧式距离
- 欧氏距离
- euclidean adj. 【数学】欧几里得的。
- distance n. 1.距离，路程。 2.远隔，远离；远处，远方。 3 ...
- euclidean algorithm 欧几里德算法; 欧几里得算法; 欧几里得辗转相除法; 辗转相除法
- euclidean axiom 欧几理得公理; 欧几里得公理
- euclidean body 欧几里得体
- euclidean complex 欧几里得复形
- euclidean connection 欧几里得联络
- euclidean domain 欧几里德定义域; 欧几里德域; 欧几里得区; 欧几里得域; 欧几里得整环
- euclidean field 欧几里得域
- euclidean formula 欧几里得公式
- euclidean geometry 欧几里得几何，欧氏几何。
- euclidean graph 欧几里得图
- euclidean measure 欧几里得测度
- euclidean metric 欧几里得尺度; 欧几里得度量
- euclidean morm 欧几里得范数
- euclidean motion 欧几里得运动
- euclidean norm 欧几里得范数; 欧几里得空间
- euclidean plane 欧几里得平面
- euclidean polyhedron 欧几里得多面体
- euclidean postulate 欧几里得公设
- euclidean ring 欧几里得环; 欧几里得整环
- euclidean simplex 欧几里得单形
- euclidean solid 欧几里得固体
- euclidean space 欧几里得空间，欧氏空间。
- euclidean symmetries 欧氏对称
- Firstly , we changed the implementation scheme , which is oriented on software for euclidean distance transform , to an easy design of hardware with the calculation complexity of o ( n2 ) . secondly , in our design , by using " in - place " calculation , the intermediate data and the result output can use the same memory . this reduces the number of memory in order to improve the scale of the circuit
其次，在面向硬件的设计方案中，本文引入了“内置” ( in - place )算法? ?将电路计算过程中产生的中间数据和最终计算结果用同一个存储器保存，以便减少电路中存储器的使用数量，从而达到优化电路规模的目的。 - In this paper , the principle of euclidean distance transform based on binary images was demonstrated in detail , and it also introduced the implementation schemes and calculation capabilities of those algorithms for euclidean distance transform which are known . with focus on the practical application , we took some reforms in this paper to implement the distance transform algorithm based on the advantages of previous researches
针对欧几里德距离转换算法的实用性，本文在吸取前人研究成果的基础上，分析了不同算法的实现原理和计算性能，对计算性能最接近实际应用要求的算法，在实现方案上做了相应的改进，提高算法实现电路计算速度和减小其电路规模，从而使基于硬件实现的欧几里德距离转换算法更具有实用性。 - At the same time , we consider the reconstructed ermrs of a test sample in two spaccs : the between - class eigenmotion subspace and the within - class eigenmotion subspace , which are used as the classifier rule , in contrast to the traditional methods such as euclidean distance or mahalanobis distance in one subspace . experimental results show that this method outperforms the eigenface method in the presence of facial expression variations
在特征运动的基础上，我们还提出了同类特征运动空间和异类特征运动空间两个子空间的概念，并且分析测试样本在这两个子空间的重建误差，以此作为分类标准，而不是简单地考虑在一个子空间里欧氏距离或者马氏距离。 - In training process , we use kernel - based fisher discrimination analysis ( kfda ) method to train the input sample vectors . the method has been used in face recognition and has been demonstrated better recognition capability than other methods ( pca , kpca , svm ) . we calculate the optimal subspace wopt and project the sample gait sequences to wopt , then get the tracks of the sequences , calculate the track centroid and calculate the exemplar projection centroid of the sequences in the same class , and the exemplar projection centroid represents the class template . to test the class of a gait sequence , we also project the test sequence to the eigenspace , and calculate the track centroid , then calculate the euclidean distance of the test sequence tracking centroid with the sample sequences ’ exemplar projection centroids . and the class which the test sequence belongs to is the one that the sample sequence which the euclidean distance is shortest belongs to
该方法在人脸识别的研究中已有采用并在同样测试条件下取得比其他识别方法更好的识别性能。采用kfda方法取得最优特征空间wopt ,把步态样本序列映射到wopt中,取得样本序列在特征空间中的轨迹,计算轨迹质心,把同类样本序列的轨迹质心进行平均求得该类的标本投影轨迹质心,作为该类的模板。在识别时,将测试序列也投影到特征空间中,取得序列轨迹质心,对测试序列轨迹质心与样本的标本投影轨迹质心计算它们的欧氏距离。 - In one process of combination , the euclidean distances between 3n pairs of points need to be computed , so the overall complexity of computing distance is then 3n - lg n . since the computation of distance is more costly compared with other basic operation , how to improve sh algorithm from the aspect of complexity of computing distance is considered
对带左半部分内的每个点，算法需要考虑带右半部分内的至多6个点，假设平面上点的个数为n ,该算法在归并时最坏情况下需要求出3n对点对之间的距离，从而整个算法计算距离的复杂度为3n lg n 。 - In the process of matching a morphable model to image , the euclidean distance between the reconstructed 3d component image and the input component image is defined as the goal function . comparing with the whole face 3d morphable model , the dimension of each component is low and the scale of the goal function of each component is relatively small , so the optimized result is improved and the 3d component is more precise
在模型匹配过程中,定义相同视点下获得的三维部件图像与给定部件图像的误差作为目标函数,由于每个部件维数比较低,与整个面部的三维形变模型相比,目标函数的规模相对较小,优化效果得到改善,提取的三维部件特征更准确。 - Finally , with the step - by - step scheme , we implemented the fast hardware algorithm for euclidean distance transform based on two - dimension images . our design , compared with previous schemes , has these following advantages : ( 1 ) the calculation speed was accelerated from o ( n3 ) to o ( n2 ) , this make the implementation of euclidean distance transform possible
相比之下，本文所实现的基于硬件的欧几里德转换算法有以下优点：其一，在计算速度方面有很大提高，使其计算速度从o ( n ~ 3 )提高到o ( n ~ 2 ) ，从而使算法具有实用性。
In mathematics, the Euclidean distance or Euclidean metric is the "ordinary" distance between two points that one would measure with a ruler, and is given by the Pythagorean formula. By using this formula as distance, Euclidean space (or even any inner product space) becomes a metric space.
详细百科解释
- euclidean distanceとは意味：《数学》ユークリッド距離｛きょり｝
- 推荐英语阅读
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Last modified time:Wed, 13 Aug 2025 00:29:56 GMT
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