中图分类号：TP391.41
文献标识码：A
DOI： 10.19358/j.issn.2096-5133.2020.04.007
引用格式：杨涛，罗健欣，金凤林.增加直线约束的网格化2D相机运动估计算法［J］.信息技术与网络安全，2020,39（4）：36-42.

2D mesh camera motion estimation algorithm with line preserving constraint

Abstract： Camera motion estimation plays an important role in video stablization and stitching.To some extent,the mesh warping model can handle the problem of parallax,which is difficult for traditional 2D motion model with a single affine or homography matrix.A line preserving constraint is added to the CPW(Content Preserving Warping) algorithm,and the weight of the feature point constraint,similarity constraint and line preserving constraint are adaptively ajusted according to the distribution of feature points and the detected lines.Then three types of constraints are expressed as quadratic terms and the camera path is obtained by solving the sparse linear system.The algorithm keeps the linear structure,which is sensitive to human vision when warping image according to the estimated camera motion.As a result,the perceptual visual effect is improved,and the distortion caused by image warping is reduced.

Key words : mesh warping;camera motion estimation;line preserving