基于光流预测的直线对应算法

Lines matching based on prediction by optical flow

对基于光流预测的直线对应算法进行了深入的研究,贡献在于:(1)提出了改进的光流估计算法,改善了图像低纹理区域的光流估计,优于Chiba光流估计算法;(2)以直线全局参数和基于灰度的直线方向作为相似度测度,能够得到可靠的直线对应,并区分平行靠近的直线;(3)提出投影相似度测度处理直线多段对应问题。

The paper discusses lines matching based on prediction by optical flow. Its contribution includes ： （ 1 ） Chiba-Kanade algorithm for optical flow is adapted to better the estimation of low texture regions in images ; （2） Hough parameters of lines are acted as similarity measure along with lines＇ orientation defined by gray level. We use the measure treat with parallel-closed lines and gain credible correspondences; （3） Projection similarity measure is defined to treat with multi-segment matching.