• 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.

    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。

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  • The use of template matching method of infrared image of the target for testing.

    运用模板匹配的方法对红外图像中的目标进行检测。

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  • Based on discussing the template matching method of image stitching, an improved algorithm is presented for enhancing the efficiency in light of the heavy computation problem.

    在讨论图像拼接的模板匹配法的基础上,针对计算量太大的问题,提出了一种提高效率的改进算法。

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  • The template matching technique is confronted with large computational quantity in image processing.

    分析了图像处理中模板匹配技术计算量大的问题。

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  • This paper proposes a novel parallel algorithm for template matching of image division block based on a K-ary 2-cube network SIMD computer.

    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。

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  • In the detection of fabric flaw based on template matching, statistical information of natural and normal texture of the fabric can be extracted via collecting and analyzing the gray image.

    在使用模板匹配方法检测织物瑕疵的过程中,通过实时采集、分析织物的灰度图像,获得织物纹理的统计信息,并从中提取出正常纹理的特征。

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  • To repair the hole in the range image which includes several features, a method of hole-filling based on template matching was proposed.

    为填补深度图像中包含多个特征的孔洞,提出了一种基于模板匹配的孔洞填补方法。

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  • Many template matching approaches in current image processing literatures are not practical because of their time consuming and complicated computation.

    针对目前图像处理中模板匹配方法一般具有较大计算量的不足,提出使用遗传算法进行快速的搜索。

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  • A novel method of content based image segmentation using deformable template matching is proposed.

    本文提出一种采用可变形模板匹配技术进行基于内容的图像分割算法。

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  • Because of the matching between the candidated image patch and the prior knowledge, it need not the template updating.

    由于跟踪系统事先学习到了目标的“知识”,故匹配发生在候选图像块与先验知识之间,而不必考虑模板更新。

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  • In order to deal with the problem of the estimation of image registration parameter, this thesis ADAPTS the way of combining the methods of phase correlation and template matching.

    针对图像配准中的亚像素参数估计问题,提出了一种相位相关和模板匹配相结合的方法。

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  • According to matching the head template with the contour image of follow-up frames, it can implement the head detection and tracking with image sequence.

    对后续帧,通过与前一帧进行头部模板匹配,完成目标图像序列的头部检测跟踪。

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  • Further more, in order to improve real time obstacle detection, a recursive template matching method is established to track the leading vehicle's location in the image.

    为进一步提高障碍物检测的实时性,采用递归模板匹配法对障碍物进行跟踪。

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  • The correlation value of an image and its template was a multimodal function, so template matching can be seen as.

    图像与模板的相关值是一多峰值函数,模板匹配实质上是多峰值寻优过程。

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  • In the detection of motion objects, a method based on movement feature of target (catenary) is proposed. It combines temporal differential method and template matching in image sequence data.

    在检测运动物体方面,根据检测对象(接触线)的运动特征提出了一种对图像序列数据采用时态差分法与模板匹配相结合的检测方法。

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  • In this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.

    本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。

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  • A human face detection method based on coarse segmentation of difference image and multi-template matching is proposed.

    提出了基于差影法粗分割与多模板匹配的人脸检测方法。

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  • Template-matching method is used to decide whether the deformed and rotated template is contained in the image, the decision function is the adaptability function (AF) of GA.

    用模板匹配法判定图像中是否含有形变旋转后的模板,判定函数就是遗传算法的适应度函数。

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  • By means of the density function fitting method of weighted sum of normal kernels the optimizing problem of template matching for non-normal distribution image is solved.

    并用正态核加权和密度函数拟合法解决了非正态图象模板匹配的优化问题。

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  • The system combines image processing and pattern recognition techniques. We present a fast and reliable face location algorithm based on template matching.

    系统采用了图像处理和模式识别等技术,提出了一种基于模板匹配的快速人脸定位算法。

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  • The system combines image processing and pattern recognition techniques. We present a fast and reliable face location algorithm based on template matching.

    系统采用了图像处理和模式识别等技术,提出了一种基于模板匹配的快速人脸定位算法。

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