摘要
基于像素灰度和基于特征的相关匹配跟踪算法跟踪精度不高,只能匹配定位到整像素点。针对该问题,采用相关函数拟合极值法对整像素匹配点进行亚像素定位。设计一种新的实验方法和基于边缘特征的相关匹配跟踪算法。实验结果表明,该算法可以达到0.1级别的亚像素定位精度。
Correlation matching tracking algorithm based on pixel gray and character is commonly used. The algorithm based on edge feature is a research hotspot because of its advantages for application. However, this kind of algorithm can just locate to integer pixel for its low tracking precision. A method based on the quadratic surface fitting is selected for subpixel matching through analysis and comparison. A new experiment is designed to show that this algorithm gets as high as 0. 1 level of pixel location precision.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第15期201-202,211,共3页
Computer Engineering
基金
国家部委基金资助项目
关键词
亚像素定位
边缘提取
边缘相关匹配
相关函数拟合极值法
匹配跟踪
subpixel orientation
edge extraction
edge correlation matching
correlation function fitting extreme method
matching tracking
