利用模板匹配算法获取焊缝中心位置。
The position of seam center was got with template match algorithm.
传统的模板匹配算法计算量大，匹配速度慢。
In the traditional template matching algorithm, complicated calculations cause a slow matching speed.
模板匹配算法是字符识别中最常用的一种算法。
Templet matching arithmetic is the most ordernary arithmetic for character recognition.
为此本文提出一种基于互相关函数差值的模板匹配算法。
A new template matching algorithm, which based on the difference of cross correlation function, is proposed.
这是以往的模板匹配算法和特征分类算法所不能达到的。
The precision is higher than those of the existing template matching algorithms or characteristic extraction algorithms.
结合模板匹配算法的识别实验得到的识别率为98.9%。
The experiments with template matching algorithm were performed, and the results show that the recognition rate is 98.9%.
提出了一种在完全搜索中寻找最优匹配点的模板匹配算法。
This paper proposes a fast template matching algorithm. The exact best matching may be found by a full search.
采用“变分辨率模板匹配算法”和“字符结构特征法”进行字符识别。
Finally proposes model match with different resolution and configuration characteristic algorithm to recognize the character.
针对不完整目标的查找，提出一种基于分块统计的快速模板匹配算法。
A novel fast template matching algorithm for incomplete target searching based on block statistics was presented.
分析了传统的模板匹配算法，提出了一种新的基于投影的快速模板匹配算法。
A new algorithm of fast template matching based on the projection was proposed.
实验结果表明，该算法在处理速度及检测正确率上都优于现有的模板匹配算法。
The experiment shows that the processing speed and the accuracy of the flaw detection have improved compared with the current method.
分析研究了一种新的增加运动预测的模板匹配算法，并将其应用到战车火控系统中。
In this paper, a novel template matching algorithm based on motion prediction is studied, which could be applied to the combat vehicle fire control system.
重点绐出了该方案的模板匹配算法、运作流程以及服务组合模块库的关键API设计。
The template matching algorithm, how this method works, and the API of template library are introduced.
实验结果表明，该算法不仅定位精度高，而且相对于传统的模板匹配算法有更强的鲁棒性。
Experimental results showed that the algorithm not only causes high precisely locating result, but also more robust relative to the traditional correlation matching method.
分析现有模板匹配算法存在问题的基础上，提出一种基于可变形模板的声图像识别新方法。
On the basis of deformable template matching, a new approach based on the deformable template is presented.
SSDA算法(序贯相似性检测)是针对一般模板匹配算法计算量大而提出的减少计算量的误差累计算法。
The sequential similarity detection algorithm (SSDA) is applied to image matching because the calculating work is considerable by using the algorithm of common template matching.
基本理解XPath表达式、模板的匹配方式和xslt递归算法之后，就可以创建简短的可维护的转换。
A basic understanding of XPath expressions, how templates are matched, and XSLT recursive algorithms will result in the creation of small, easy, and maintainable transforms.
在匹配跟踪算法中，模板更新策略是跟踪成败的关键。
Template update method is the key of the success of the matching and tracking algorithm.
模板匹配法技术是汉语声母识别中较为成功的算法，但它的缺陷影响了其恢复错误、改善识别性能。
Conventional template matching technique is a successfully used algorithm in Chinese consonant recognition, yet its disadvantage limits its recovery of error, improvement of performance.
提出了一种基于模板匹配的快速人脸定位算法。
This paper presents a fast and reliable face location algorithm based on template matching.
文中提出了新的用于多种形式数学模型发现推理的组合模板匹配方法和误差判别切换算法。
In this paper, the new combination sample match method and error criterion switch algorithm using to discover the different form of mathematics model are presented.
该算法根据运动矢量的中心分布特性设计了相应的匹配搜索模板。
Matching search patterns are designed in the algorithm based on the center-biased characteristics of motion vector distribution.
提出图象的角点位于该矢势图的鞍点和基于模板匹配的鞍点检测算法，并给出实际的角点检测结果。
The saddle point detection algorithm is based on a simple template matching. The corner detection result is given.
该算法利用积分投影法预测人脸可能的范围与位置，然后在限定的范围内采用模板匹配的方法定位人脸，从而实现了快速且可靠的人脸定位。
The algorithm firstly detects the sphere and possible location of a face through integration projection and then realizes the precise location of the face within the sphere.
使用一种新的假面变换和模板匹配的人脸检测算法，能够对复杂环境中大小不等的人脸进行快速、准确的检测。
A novel algorithm of face detection based on mask transform and template match makes face detection more accurate and faster in different face sizes with complex condition.
该文提出了一种新颖的在基于K元2 -立方体网络的SIMD计算机上运行的图像分块模板匹配并行算法。
This paper proposes a novel parallel algorithm for template matching of image division block based on a K-ary 2-cube network SIMD computer.
这种算法大大减小了搜索人脸的范围，使得检测速度比单纯仅用多模板匹配来检测人脸提高了三倍多。
The algorithm reduces the range where faces are to be searched, therefore its detection speed is three times of that of other detection methods used singly by multi-template matching.
这种算法大大减小了搜索人脸的范围，使得检测速度比单纯仅用多模板匹配来检测人脸提高了三倍多。
The algorithm reduces the range where faces are to be searched, therefore its detection speed is three times of that of other detection methods used singly by multi-template matching.
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