| 摘要: |
| 提出了一种基于特征光流的角点匹配算法.首先，获取经过均匀化处理的特征角点;然后，考虑角点处的局部光流，求解角点处的光流场，从而得到角点处的粗略光流失量，实现了图像角点间的近似匹配;最后，把特征光流作为约束条件，根据两帧图像角点集之间的坐标关系，排除非正常角点，从而完成对特征角点的精确匹配.仿真实验表明：算法在减少计算量的同时可以提高匹配精度，进而实现高精度运动目标跟踪. |
| 关键词: 角点匹配 光流估计 仿射变换 运动目标检测 |
| DOI： |
| 分类号: |
| 基金项目: |
|
| Corner Matching Algorithm Based on Feature Optical Flow |
|
CAO Qian qian1， CAI Guang cheng2
|
| Abstract: |
| This paper presents a corner matching algorithm based on feature optical flow.Firstly，the homogenized corners are extracted.Secondly，judging from the improved approach of feature optical flow estimation，the local optical flow estimation on the corners can be calculated，rough optical flow vectors are gained and approximate matching of the corners is achieved.Finally，optical flow estimation of corners is acted as constraint condition.According to the coordinate relations between two corner sets of images，abnormal corners are excluded.In this way，the corners of the two images can be accurately matched.The simulation experiment shows that the presented algorithm can reduce the computational complexity and raise matching precision so as to precisely track moving object. |
| Key words: corners matching optical flow estimation affine transformation motion object detection |
