模板匹配

• ( 3 ) realize some algorithm like preprocessing , sample match , hough transform , optic flow computation , corner detect based on gpu . its running time is less than cpu and it can be achieved real time computation in some way
  ( 3 )针对具体的算法(预处理、模板匹配、 hough变换、光流计算、角点检测) ,设计了其相应的gpu软件实现。
• After denoising and using wavelet transform to process the the signal . i use the method of template - matching to detect the r - peak . using this method , the preciseness rate improved greatly
  在心电信号r波峰的检测方法上，本人在对心电信号进行去处工频干扰，和进行小波变换后，采用了模板匹配法，使得检测正确率大大提高，得到了预期的效果。
• A new object recognition method of color image is proposed in this paper , which combines the template matching with the mind evolutionary computation ( mec ) . the recognition is done in cie 1976 luv uniform color space
  本文提出一种新的目标识别算法，它是把模板匹配思想和性能优异的思维进化计算结合起来，在cie1976广矿矿均匀颜色空间上匹配。
• We roughly locate the organs using horizontal projection and vertical projection of the image , then we locate them exactly using a fast module - matching algorithm . ( 2 ) the generation of facial expression
  我们先利用脸部图像的垂直投影和水平投影对脸部器官进行了粗定位，然后通过一种快速的模板匹配算法进行了脸部器官(主要是眼睛和嘴巴)的精确定位。
• This thesis applies correlation and ssda acceleration algorithm to image matching . to ensure good real - time , i first locate barycenter , then matching in comparatively small region , which increasingly improve processing efficiency
  为了保证良好的实时性，又采用了先找图像重心，然后在一个相对小的区域中进行模板匹配的方式，极大的提高了处理速度。
• Comparing with other segmentation methods , differential histogram method is more practical to get defect information in the glass - shells . after the defects are extracted , the glass - shells are classified based on the shape of defects by pattern recognition methods
  玻壳缺陷分割出来后，对包含缺陷的玻壳采用了基于形状参数以及模板匹配方法来判断玻壳缺陷的类别。
• In chapter iv , a new method of eyes location is provided . it detects the edg of human face image with wavelet transform in the first . then it begins to statistic the gray value of the row and list
  本文第四章提出了一种基于简单背景的人眼定位算法，用小波变换对人脸图像进行边缘检测，对得到的结果进行行列统计，得到人脸的大致位置，再用模板匹配进行最后的精确定位。
• Traditional template matching recognition could be realized easily . after analyzing the space of the lp character , correlation recognition scheme is discussed . for some subgroup of characters , it is probably required to distinguish them further
  字符形状模板匹配识别方法具有简单易实现的特点，本文研究了车牌字符的信源空间，设计了基于形状相关的匹配识别方案，并分析了该方案的不足。
• Since the application of complexion model help reduce the regions likely to be selected in the complex background and the subsequent algorithm is simple and useful , it shows a higher speed for detection than edge - based detection and template matching algorithm
  由于使用肤色模型减少了复杂背景中的候选区域，并且后续算法也简单实用，因此与基于边缘检测和模板匹配的算法相比，检测速度更快。