光栅式双目立体视觉传感器光条快速匹配算法

魏振忠; 樊妍睿; 侯亚荣

光栅式双目立体视觉传感器光条快速匹配算法

1.
北京航空航天大学精密光机电一体化技术教育部重点实验室, 北京 100191
2. 北京工业大学计算机学院, 北京 100022

基金项目: 国家自然科学基金资助项目(50875014); 北京市自然科学基金资助项目(3092014)

详细信息

中图分类号: TP 391.41
计量
- 文章访问数: 3145
- HTML全文浏览量: 278
- PDF下载量: 530
- 被引次数: 0
出版历程
- 收稿日期: 2011-01-04
- 网络出版日期: 2012-05-30

Light-stripes fast matching method for raster binocular stereo vision sensor

1.
Key Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2. School of Computer Science, Beijing University of Technology, Beijing, 100022

摘要

摘要: 光栅式双目立体视觉传感器用于物体三维形貌测量,其难点之一是光栅光条的匹配与识别.利用可见光条数和光条序列组合间的关系,提出了一种基于空间三维搜索的快速光条匹配算法.将光栅式双目立体视觉传感器看作两个光栅结构光传感器,分别进行标定后,可计算各光条中心点的三维坐标.搜索不同光条中心点集之间的距离最小且模型编号相同的光条即为匹配光条.分析了可见光条数目和光条序列组合间的关系后,列出各种可能的组合情况,设计了搜索算法,排除了冗余计算,大大减少了计算量,实验证明了方法的有效性.
- 光条匹配 /
- 立体视觉 /
- 光栅
Abstract: Raster binocular stereo vision sensor is widely used in 3D measurement, and one of its difficulties is light-stripe matching and recognizing. Based on the relationship between the viewed stripes number and the stripe sequence combination, a fast matching method for light-stripe based on 3D searching was proposed. The raster binocular stereo vision system was regarded as two raster structured light sensors, and then was calibrated under one common coordinated system. So, the 3D coordinates of the light stripes center points were obtained by the two raster structured light sensors, respectively, as well as the distances between the light-stripe center points. As a result, the light-stripes whose model numbers are equal and have the minimal distance are matching stripes. All the possible combinations were listed after the relationship between the viewed stripes number and the stripe sequence combination, and the matching method was designed with the character of much less extra calculations which brings about less computational burden. The experiment results show the effectiveness of the method.
- light-stripes matching /
- stereo vision /
- raster

HTML全文

参考文献(9)

[1]	陶国智,邾继贵,叶声华.光栅式结构光传感器的编码方法[J].航空精密制造技术,1999,35(3):18-20 Tao Guozhi,Zhu Jigui,Ye Shenghua.Coding method of the grate structure sensor[J].Aviation Precision Manufacturing Technology,1999,35(3):18-20(in Chinese)
[2]	Pages J,Salvi J,Forest J.A new optimised de bruijn coding strategy for structured light patterns[C]//Josef K,Marin E,Mark N.Proceedings of the 17th International Conference on Pattern Recognition .Los Alamitos:IEEE Computer Society,2004:284-287
[3]	Chen S Y,Li Y E,Zhang W.Vision processing for realtime 3-D data acquisition based on coded structured light[J].IEEE Transactions on Image Processing,2008,17(2):167-176
[4]	孙军华,魏振忠,张广军.一种高密度光栅结构光编码方法[J].光电工程,2006,33(7):78-82 Sun Junhua,Wei Zhenzhong,Zhang Guangjun.A coding method for high-density grating structured light[J].Opto-Electronic Engineering,2006,33(7):78-82(in Chinese)
[5]	于晓洋,关丛荣,吴海滨,等.高采样密度彩色结构光三维测量技术仿真研究[J].系统仿真学报,2011,23(2):346-350 Yu Xiaoyang,Guan Congrong,Wu Haibin,et al.Research of high sampling density color structured light 3D measurement technique simulation[J].Journal of System Simulation,2011,23(2):346-350(in Chinese)
[6]	Lu C,Cho G.Accurate 3D scanning of swaying human body parts by one projection based on OIMP technique[C]//Tang Y Y,Wang S P,Loettem G,et al.Proceedings of the 18th International Conference on Pattern Recognition.Los Alamitos:IEEE Computer Society,2006:1-4
[7]	Gorthi S S,Lolla K R.A new approach for simple and rapid shape measurement of objects with surface discontinuities[C]//Wolfgang O,Christophe G,Erik L N.Proceedings of SPIE.Bellingham:SPIE,2005:184-194
[8]	谢光辉,魏振忠,刘震,等.一种光栅式双目立体视觉传感器光条匹配方法[J].北京航空航天大学学报,2008,35(1):113-116 Xie Guanghui,Wei Zhenzhong,Liu Zhen,et al.Light-stripes matching method for raster binocular stereo vision sensor[J].Journal of Beijing University of Aeronautics and Astronautics,2008,35(1):113-116(in Chinese)
[9]	张广军.机器视觉[M].北京:科学出版社,2005 Zhang Guangjun.Machine vision[M].Beijing:Science Press,2005(in Chinese)