改进MSAC估计F与H矩阵在匹配点中的提纯

doi:10.13474/j.cnki.11-2246.2018.0120

测绘通报 ›› 2018, Vol. 0 ›› Issue (4): 104-107,140.doi: 10.13474/j.cnki.11-2246.2018.0120

改进MSAC估计F与H矩阵在匹配点中的提纯

李城, 王仁礼, 王成港, 明平寿

山东科技大学山东省基础地理信息与数字化技术重点实验室, 山东青岛 266590

收稿日期:2017-07-24 出版日期:2018-04-25 发布日期:2018-05-03
作者简介:李城(1994-),男,硕士,研究方向为图像处理与计算机视觉。E-mail:1048331019@qq.com
基金资助:
国家自然科学基金项目（41571443）

Improvement of MSAC for Estimating F and H Matrix to Filter Matching Points

LI Cheng, WANG Renli, WANG Chenggang, MING Pingshou

Key Laboratory of Fundamental Geographic Information and Digital Technology of Shandong Province, Shandong University of Science and Technology, Qingdao 266590, China

Received:2017-07-24 Online:2018-04-25 Published:2018-05-03

摘要/Abstract

摘要：

针对立体影像匹配中误匹配问题，通常通过某种约束来剔除误匹配。在多视图几何中，多采用基本矩阵和单应矩阵约束同名像点的位置。本文采用改进的稳健MSAC算法估计基本矩阵与单应矩阵，分别对不同地物类型的影像进行误匹配剔除。试验结果表明：①改进后的MSAC算法性能优于原算法；②单应矩阵适合于平坦地区影像，且其约束力高于基本矩阵；而基本矩阵则适合于任意立体影像。

关键词: MSAC, 立体影像, 匹配提纯, 基本矩阵, 单应矩阵

Abstract:

Aiming at the problem of mismatching in stereo image matching,mismatches are usually eliminated by some kinds of constraint.In the multi-view geometry,fundamental matrix and homography matrix are usually used to constrain the location of the corresponding points.In this paper,an improved robust MSAC algorithm is used to estimate the fundamental matrix and homography matrix to filter the mismatches of images of different types of objects.The experimental results show that:①The improved MSAC algorithm is superior to the original algorithm;②The homography matrix is suitable for the flat area images,and its binding force is higher than fundamental matrix.The fundamental matrix is suitable for any stereo images.

Key words: MSAC, stereo images, filtering matches, fundamental matrix, homography matrix

中图分类号:

李城, 王仁礼, 王成港, 明平寿. 改进MSAC估计F与H矩阵在匹配点中的提纯[J]. 测绘通报, 2018, 0(4): 104-107,140.

LI Cheng, WANG Renli, WANG Chenggang, MING Pingshou. Improvement of MSAC for Estimating F and H Matrix to Filter Matching Points[J]. 测绘通报, 2018, 0(4): 104-107,140.

参考文献

[1] DUAN Y N,CHEN W,WANG M Z,et al.A Relative Radiometric Correction Method for Airborne Image Using Outdoor Calibration and Image Statistics[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(8):5164-5174.
[2] LINGER M E,GOSHTASBY A A.Aerial Image Registration for Tracking[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(4):2137-2145.
[3] YE P,LIU F,ZHAO Z.Multiple Gaussian Mixture Models for Image Registration[J],IEICE Transactions on Information and Systems,2014,97(7):1927-1929.
[4] ZARAGOZA J,CHIN T J,TRAN Q H,et al.As-projective-as-possible Image Stitching with Moving DLT[J].IEEE Conference on Computer Vision and Patlern Recognition,2013,36(7):2339-2346.
[5] TORR P H,MURRAY D W.The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix[J].International Journal of Computer Vision,1997,24(3):271-300.
[6] ZHANG Z.Determining the Epipolar Geometry and Its Uncertainty:A Review[J].International Journal of Computer Vision,1996,27(2):161-195.
[7] ROUSSEEUW P J,LEROY A M.Robust Regression and Outlier Detection[J].Wiley-Interscience,2003,31(2):260-261.
[8] HARTLEY R,ZISSERMAN A.Multiple View Geometry in Computer Vision[M].[S.l.]:Cambridge University Press,2003:159-239.
[9] TORR P H S,ZISSERMAN A.MLESAC:A New Robust Estimator with Application to Estimating Image Geometry[J].Computer Vision and Image Understanding,2000,78(1):138-156.
[10] WANG H,SUTER D.MDPE:A Very Robust Estimator for Model Fitting and Range Image Segmentation[J].International Journal of Computer Vision,2004,59(2):139-166.
[11] CHUM O,WERNER T,MATAS J.Two-View Geometry Estimation Unaffected by a Dominant Plane[J].IEEE Computer Society Conference on Computer Vision and Patlern Recognition,2005,1(1):772-779.
[12] FRAHM J M,POLLEFEYS M.RANSAC for(Quasi-)Degenerate Data (QDEGSAC)[J].IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2006,1(1):453-460.
[13] RAGURAM R,CHUM O,POLLEFEYS M,et al.USAC:A Universal Framework for Random Sample Consensus[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2013,35(8):2022-2038.
[14] LUONG Q T,FAUGERAS O D.The Fundamental Matrix:Theory,Algorithms,and Stability Analysis[J].International Journal of Computer Vision,1996,17(1):43-75.
[15] JO G S,LEE K S,CHANDRA D,et al.RANSAC versus CS-RANSAC[C]//Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence.[S.l.]:AAAI,2015.

改进MSAC估计F与H矩阵在匹配点中的提纯

Improvement of MSAC for Estimating F and H Matrix to Filter Matching Points

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

编辑推荐

Metrics

本文评价

[1]	张庆斌, 赵之星, 鲁小红, 薛永安. 利用基本矩阵重构地面影像位姿信息[J]. 测绘通报, 2021, 0(7): 135-139.
[2]	葛义攀, 王晓红. 基于本质矩阵的无人机影像精确匹配[J]. 测绘通报, 2020, 0(8): 55-58,75.
[3]	袁家明, 张卡, 陈辉, 宿东, 王蓬勃. 基于几何规则的车载近景立体影像道路交通标线自动提取[J]. 测绘通报, 2020, 0(4): 27-33.
[4]	霍门婕, 范大昭, 董杨. 异源多分辨率卫星影像匹配算法研究[J]. 测绘通报, 2019, 0(6): 47-51.
[5]	宋月婷, 郑顺义, 王晓南, 段志鑫. 文物安全箱填充物的切割线自动测定方法[J]. 测绘通报, 2018, 0(10): 17-21.
[6]	程传奇, 郝向阳, 李建胜, 徐海鑫, 王安然. 基本矩阵约束下的摄像机畸变校正及像主点确定[J]. 测绘通报, 2017, 0(9): 32-36,45.