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。
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
Abstract: 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.
Key words:
subpixel orientation,
edge extraction,
edge correlation matching,
correlation function fitting extreme method,
matching tracking
中图分类号:
刘倩, 闫宇壮, 黄新生. 基于边缘特征的亚像素相关匹配跟踪算法[J]. 计算机工程, 2011, 37(15): 201-202,211.
LIU Qian, YAN Yu-Zhuang, HUANG Xin-Sheng. Subpixel Correlation Matching Tracking Algorithm Based on Edge Feature[J]. Computer Engineering, 2011, 37(15): 201-202,211.