face template meaning in Chinese
划线样板
Examples
- Finally , the face template matching and bp neural network are used to verify whether the probable face area is a face indeed , and the final detection result will be obtained
最后，对得到的候选人脸区域，使用一种平均脸模板匹配与bp神经网络验证相结合的方法进行检测判断，得到人脸检测的最终结果。 - Finally , this thesis build a research system based on skin color segmentation and average face template confirm , and do some experiment on it . the experimental results show that the system is feasible and effective
最后构建了基于肤色分割和模板验证的人脸检测试验系统,并对该系统采用自制人脸图像数据库进行测试。 - This thesis is focus on arbitrary background image which maybe contain human face , and build a research system combines the skin color segmentation , face template matching and filter candidate region by facial characteristic , some experiment have done based on the system and get a serials statistic data
本文针对复杂背景下的彩色正面人脸图像,将肤色分割、模板匹配与候选人脸图像块筛选结合起来,构建了人脸检测实验系统,并用自制的人脸图像数据库在该系统下进行了一系列的实验统计。 - Aims at application , we mainly discuss face detection in two circumstance . ( 1 ) in the gray image , we use difference image in multi - frames , then get the edge of the face , we make the raw - location to ensure the approximate position of the face , next , we use the template of the face to occlude the pseudo face region and get the region which near the exact face region . ( 2 ) use method of two template matching , first , we get the face template from many face average , second , we copy the eye section of the face template then get the eye template
文中首先介绍了图像预处理的各种方法，重点介绍了图像分割和人脸检测定位，针对实际应用的要求，着重处理了两种情况的人像检测定位： ( 1 )在灰度图像下对连续输入的多帧进行差分，对于得到的边缘进行处理初步确定人像的大概位置，然后采用模板匹配进行精确定位。 ( 2 )应用双模板匹配的方法，由多人脸平均得到人脸模板和眼睛模板，在检测中采取了首先使用尺度相对较小的双眼模板搜索候选人脸，再用人脸模板匹配进一步筛选候选人脸的方法。 - In this paper , we present a multi - feature optimal fusion algorithm , inclusive of skin color , to detect one or multiple faces in color image with complex background . it is a hierarchical approach and integrates the skin color segmentation , face template matching and a neural network frontal face detector . with the elimination of false areas , the search area will become smaller and smaller , and the detection will be accomplished eventually
该算法是一种层次式、由粗到精的检测方法，按照“分割-搜索”的检测模式，将肤色分割、平均脸模板匹配与神经网络验证结合起来，采取逐步排除的方法，一步一步缩小搜索区域，实现彩色图像中单个或多个正面端正人脸的检测与定位。