期刊文献+

一种点目标三维重构的新算法 被引量:6

New Algorithm for Three-dimensional Construction of Point Object
在线阅读 下载PDF
导出
摘要 双目立体视觉研究利用二维投影图像恢复三维景物世界的问题,其中三维重构是立体视觉测量过程的主要组成部分之一,是从二维图像恢复三维景物的关键环节。针对空间点目标的三维重构,传统的方法是采用最小二乘法进行的,但是由于最小二乘法没有考虑所建立的超定方程组所代表的几何意义,所以计算出的点坐标精度不高。对此,从几何学的角度出发,提出了一种异面直线公垂线段中心法来提高点目标的重构精度。实验表明,该方法比传统的最小二乘法具有更高的测量精度。 The problem that two-dimensional projection images are used to recover three-dimensional world is studied mainly in binocular stereo vision, in which three-dimensional construction is one of the important parts, and it is the key from two-dimensional image to three-dimensional environment. Aiming at three-dimensional construction of point object, lease square-method is usually used in traditional method. But because it don' t consider geometric meaning that the over-determined equation set is represent for, the precision of point object measured is low. To this, from the view of geometrical mathematics, a kind of method based on middle point of crossover line common vertical line is proposed to improve reconstruction precision of point object. Compared with lease square-method, the test indicates that the method has the higher measurement precision.
作者 付强 王春平
机构地区 军械工程学院
出处 《科学技术与工程》 2008年第3期643-647,共5页 Science Technology and Engineering
关键词 双目立体视觉 三维重构 异面直线 binocular stewreo vision three-dimensional construction
  • 相关文献

参考文献5

  • 1[1]李玉山.数字视频视觉技术.西安:西安电子科技大学出版社,2006:169-181
  • 2[7]Tsai R Y.A versatile camera calibration technique for high-accura-cy 3D machine vision metrology using off-the-shelf TV cameras and lenses.IEEE Joumal of Robotics and Automation,1987,3(4):323-344
  • 3[8]Weng J Y,Cohen P,Herniou M.Camera calibration with distortion modeh and accuracy evaluation.IEEE Transactions on Pattern Analy-sis and Machine Intelligence,1992;14(10):965-980
  • 4杨必武,郭晓松.摄像机镜头非线性畸变校正方法综述[J].中国图象图形学报(A辑),2005,10(3):269-274. 被引量:101
  • 5吴婷,徐科军,赵锐.摄像机畸变模型下线性标定方法的改进[J].仪器仪表学报,2005,26(z1):695-697. 被引量:11

二级参考文献16

  • 1丰文义,刘斌,凌燮亭.基于独立性参数的无导师图象变形校正[J].复旦学报(自然科学版),1995,34(3):255-261. 被引量:6
  • 2汪国有,俞立科,张天序,桑农,杜诚.一种新的大视场景象的几何失真校正方法[J].数据采集与处理,1996,11(2):112-115. 被引量:7
  • 3[3]M.A. Abidi, T. Chandra. A new efficient and direct solution for pose estimation using quadrangular targets:algorithm and evalution. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17 (5) : 534~538.
  • 4Faig W. Calibration of close-range photogrammetric systems:mathematical formulation[J]. Photogrammetic engineering & Remote Sensing, 1975,41:1479 ~ 1486.
  • 5Tsai R Y. An efficient and accurate camera calibration technique for 3D machine vision[ A]. In: Proceedings of International Conference on Computer Vision and Pattern Recognition[C], Miami Beach, FL,USA, 1986,6:364~374.
  • 6Tsai R Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses[J]. IEEE Journal of Robotics Automation, 1987,3 (4):323~344.
  • 7Juyang W, Paul C, Marc H. Camera calibration with distortion models and accuracy evaluation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992,14 (10) :965~980.
  • 8Yoshihiko N, Michihiro S, Hiroshi N, et al. Simple calibration algorithm for high-distortion-lens camera [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14 (11):1095~1099.
  • 9王亚东,丁明跃,彭嘉雄.一种基于摄像机模型的畸变图象校正方法[J].自动化学报,1997,23(5):717-720. 被引量:13
  • 10高立志,方勇,林志航,陈康宁.高精度立体视觉测量中一种通用的摄像机标定技术[J].机械科学与技术,1998,17(5):808-811. 被引量:24

共引文献110

同被引文献48

  • 1张勇斌,陈晓怀,卢荣胜,费业泰.基于层次化算法在欧氏空间不标定重构三维场景[J].仪器仪表学报,2005,26(7):710-714. 被引量:4
  • 2罗世民,李茂西.双目视觉测量中三维坐标的求取方法研究[J].计算机工程与设计,2006,27(19):3622-3624. 被引量:38
  • 3张广军,田叙.结构光三维视觉及其在工业中的应用[J].北京航空航天大学学报,1996,22(6):650-654. 被引量:16
  • 4王春平,王建华,朱元昌,贾洪涛.新的空间物点定位解算方法[J].火力与指挥控制,2007,32(3):116-118. 被引量:2
  • 5李玉山.数字视频视觉技术[M].西安:西安电子科技大学出版社,2006
  • 6Zhang Z Y. A Flexible New Technique for Camera Calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (11) 1330-1334.
  • 7Jun J, Kim C. Robust Camera Calibration using Neural Network[C]//TENCON 99,Proceedings of the IEEE Region 10 Conference, 1999, 1 (9) : 694- 697.
  • 8Fofi D,Salvi J,Mouaddib E M.Euclidean reconstruct ion by means of an uncalibrated structured light sensor[A].4th Ibero-American Symposium on Pattern Recognition (SIARP'2000)[C],Lisboa,Portugal,2000,159-170.
  • 9Faugeras O.Stratification of three-dimensional vision:projective,affine,and metric Representations[J].Journal of the Optical Society of America A:Optics,Image Science,and Vision,1995,12(3):465-484.
  • 10Macwilliams F,Sloane N.Pseudo-Random Sequences and Arrays[J].Proceedings of the IEEE,1976,64(12):1715-1729.

引证文献6

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部