Research on the theory of evolutionary template matching algorithm.
进化模板匹配法的理论研究。
In the traditional template matching algorithm, complicated calculations cause a slow matching speed.
传统的模板匹配算法计算量大，匹配速度慢。
The template matching algorithm, how this method works, and the API of template library are introduced.
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。
A new template matching algorithm, which based on the difference of cross correlation function, is proposed.
为此本文提出一种基于互相关函数差值的模板匹配算法。
This paper proposes a fast template matching algorithm. The exact best matching may be found by a full search.
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。
A novel fast template matching algorithm for incomplete target searching based on block statistics was presented.
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。
The technique of template matching algorithm is used flexibly in the micro robot system to implement the robotic vision.
模板匹配技术在微型机器人系统中的灵活运用解决了系统参数提取的实时性问题，实现了机器人视觉。
The experiments with template matching algorithm were performed, and the results show that the recognition rate is 98.9%.
结合模板匹配算法的识别实验得到的识别率为98.9%。
After introducing the spectroscopic CCD images and cosmic-ray hits in detail, we propose a novel method to reject and restore cosmic-ray hits based on template matching algorithm.
首先对二维光纤光谱和宇宙射线的特性做了详细的分析，并提出了一种基于模板匹配的宇宙射线去除和修复算法。
Template update method is the key of the success of the matching and tracking algorithm.
在匹配跟踪算法中，模板更新策略是跟踪成败的关键。
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。
This paper presents a fast and reliable face location algorithm based on template matching.
提出了一种基于模板匹配的快速人脸定位算法。
Conventional template matching technique is a successfully used algorithm in Chinese consonant recognition, yet its disadvantage limits its recovery of error, improvement of performance.
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。
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。
The saddle point detection algorithm is based on a simple template matching. The corner detection result is given.
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。
In recognition algorithm we also try the method of template matching besides neural network.
识别算法中除了采用神经网络进行识别外，还尝试了模板匹配的方法。
Finally, a minimum area searching algorithm based on template matching is designed according to the own features of the system.
结合应用系统本身的特点，设计了基于模板匹配的最小区域搜索算法。
This paper presents an algorithm for face recognition using skin color and template matching.
本文提出了一种基于肤色与模板匹配的人脸识别算法。
Fast Template Matching (FTM) is a very practical, effective realtime speech recognition algorithm, especially suitable for command recognition system.
快速模板匹配(FTM)是一种非常实用高效的实时语音识别算法，尤其适用于命令识别系统。
A new algorithm of fast template matching based on the projection was proposed.
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。
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。
The real-time segmentation mainly adopts an improved algorithm based on the elimination of the shadow, to divide the moving target and by matching the template, separate the overlapping vehicles.
实时分割主要采用一种基于阴影消除的方法，通过模板匹配，从而达到分割重叠车辆的目的。
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。
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。
During the course of rough matching, enhanced template projection matching algorithm (ETPMA) is proposed to realize the high-efficient, accurate localization.
在粗匹配阶段，提出了增强模板投影匹配法（ETPMA），实现了高效、准确的定位。
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 experiments show that the algorithm can mosaic images exactly and more validly than template matching method.
试验结果表明，改进算法不但降低了计算复杂度，还很好的保证了拼接质量。
We observed that corners are the saddle points in the vector potential. The saddle point detection algorithm is based on a simple template matching. The corner detection result is given.
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。
We observed that corners are the saddle points in the vector potential. The saddle point detection algorithm is based on a simple template matching. The corner detection result is given.
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。
应用推荐