摘要
为解决直线断裂、遮挡以及图像对视差较大等造成的直线匹配困难,提出了一种基于多重约束条件的线特征多级匹配方法。该方法在已匹配的可靠种子点完成点-线匹配的基础上,基于单应性矩阵利用几何特征信息约束和核线约束完成同名直线搜索实现线-线匹配,最后提出一种自适应的直线相似性约束实现线-面匹配获得正确的同名直线。通过与现有直线匹配算法的对比实验表明,该方法提高了匹配精度,可以实现含有遮挡、直线断裂和视差较大的图像中的直线匹配。
To match the images of larger parallax change,blocked or linear fracture,this paper proposed a multi-level line matching method based on and multiple constraints.Firstly,constraint of the linesegment in the neighborhood with matched reliable seed points to accomplish point-line matching is based on seed points;Next,perform of the line-line matching within geometric feature constraints is based on homography matrix and epipolar line constraint;Finally,we completed line matching with line-surface matching using a adaptive linear similarity constraint method.Experiments show that this method can accurately match images of larger issues,blocked or linear fracture and solve the problems that existing line matching algorithm has lower accuracy and unable to fulfil large parallax changing.
出处
《计算机科学》
CSCD
北大核心
2014年第B11期83-87,共5页
Computer Science
基金
中央高校基本科研业务费专项资金(NS2013066)资助
关键词
直线匹配
单应性矩阵
核线
多级匹配
自适应
Line matching
Homography matrix
Epipolar line
Multi-level matching
Adaptation
