计算机技术与发展2012，Vol.22Issue(6)：6-9,4.
单目视觉定位中SURF算法参数的优化
Optimization of SURF Parameters in Monocular Visual Odometry
摘要
Abstract
In Older to increase the localization frequency of monocular visual odometry,optimization of SURF parameters was done on monocular visual odometry system based on SURF. Firstly .features of pavement image and the SURF keypoint in it were analyzed, and octave number and octave layer number of SURF were properly chosen. Secondly,the relation between SURF keypoint number and hessian threshold in image sequence was analyzed,and a method of hessian threshold dynamic setting was put forward. By optimizing SURF parameter,the amount of computation was reduced efficiently. The experimental results demonstrate that the method can fit the demand of localization on the pavement,meanwhile,the efficiency of monocular visual odometry is greatly improved as the accuracy and stability ace well kept.关键词
机器视觉/单目视觉定位/SURF参数/hessian矩阵行列式阈值Key words
machine vision/monocular visual odometry/SURF parameters/hessian threshold分类
信息技术与安全科学引用本文复制引用
赵立双,冯莹,曹毓..单目视觉定位中SURF算法参数的优化[J].计算机技术与发展,2012,22(6):6-9,4.基金项目
中国人民解放军总后勤部资助项目(BY2008J018) （BY2008J018）
