摘要
针对现有算法对宽基线匹配和三维场景中匹配效果不精确的问题,提出一种平滑运动概率估计误匹配剔除算法。通过构造单个特征点统计模型延伸到整个感兴趣区域的统计模型,假设特征点的统计值服从二项分布的情况下,构建匹配点概率函数,计算出匹配正确的概率,将不匹配的外点剔除。结合网格加速匹配划分网格,快速寻找特征点。通过实验对比,验证了该算法比其它算法具有更高的匹配准确度。
Aiming at the problem of inaccurate matching in wide baseline matching and three-dimensional scenes matching,a false match removing algorithm for smooth motion probability estimation is proposed.A single feature point statistical model is constructed in proposed algorithm,and this model is applied to the entire region of interest,assuming that the statistical value of the feature point obey the binomial distribution,construct the probability function of matching point and calculate the probability of correct matching,thus remove the mismatched outliers.Combined with grid accelerated matching,fast search for feature points by divided grid.It is verified that this algorithm has higher matching accuracy than other algorithms by experimental comparison.
作者
康宏斌
余辉亮
梁艳阳
KANG Hongbin;YU Huiliang;LIANG Yanyang(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010,China)
出处
《传感器与微系统》
CSCD
2019年第8期129-131,135,共4页
Transducer and Microsystem Technologies
关键词
平滑运动
概率估计
二项分布
外点剔除
网格加速匹配
smooth motion
probability estimation
binomial distribution
outliers removing
grid acceleration matching
