用户名: 密码: 验证码:
双目立体视觉平台的机构设计与试验研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
机器视觉作为当今最为活跃而又富有挑战意义的研究领域,其研究内容和应用领域相当广泛。机器视觉技术是20世纪中期发展的一门新兴的综合性科学技术,它集合了电子、机械、光学、计算机及信息科学等多学科的最新成就,是高技术领域的重要组成部分。本文以双目立体视觉机理研究为目的,对双目立体视觉系统、水平调节方案、以及水平调节机构和标定试验进行了研究和探讨。
     通过全面的分析与研究后确定了双目立体视觉系统的总体方案,将摄像机调节机构、标靶调节机构、导轨机构以及控制系统等构成一套完整的系统。然后,分别讲述了摄像机调节机构、标靶调节机构和导轨机构的设计方案,并且,针对水平调节的要求而确定利用倾角传感器调节和图像处理调节两种方案,并详细地分析了这两种方案的优缺点。
     在确定了水平调节方案的基础上,详细地对水平调节机构进行分析和计算,从而确定了基于弹性元件的并联水平调节机构,叙述了该机构的构成和工作原理,并且,分别通过人工计算方式和软件计算方式对水平调节机构进行了精确的计算,从计算的结果看出,有限元分析以精度高、计算速度快、操作方便明显优于人工计算。
     在制造出样机的基础上,采用基于图像处理技术的调平实验,即通过SWIFT算法对采集的图像进行滤波、阈值分割和边缘提取,并且可得出所提取椭圆的长短轴、中心坐标和长轴与X轴的夹角,调节标靶面与摄像机面平行的过程是首先利用水平调节仪近似地将标靶调节与水平面垂直,然后利用图像处理方法分别将左摄像机像面和右摄像机像面调节至与标靶面平行,在整个调节过程中,整套机构运动自知、调节方便,可操作性强,并且在将标靶面调节与两摄像机像面平行的基础上,又进行了摄像机的标定实验,从标定的情况来看,标定的过程变得非常简单。
Machine vision is an active and challenging research field, its research and application areas spread widely. Machine vision technology is a rising integrative science technology, which is the last word referring electronics, mechanism, optics, computer and communication technology, and which is the most important part of high tech field. With the target of binocular stereo vision Mechanism research,, this paper discusses binocular stereo vision system, level adjustment plan , level adjustment mechanism and camera calibration experiment. The overall scheme of binocular stereo vision system had been determined by the comprehensive analysis and research, which makes the camera control mechanism, the target control mechanism , the guide rail mechanism and the control system a complete systems. Then , the design proposal of the camera control mechanism, the target control mechanism and the guide rail mechanism had been narrated separately, moreover, in view of the level adjustment request ,the two kind of plans using the inclination angle sensor adjustment and the imagery processing adjustment had been determined, and the advantage and disadvantage of the two kinds had been analyzed in detail.
     Based on the level adjustment plan, level control mechanism had been analyzed and computed, thus the level control mechanism based on the elastic part had been determined and constitution and the principle of work of the mechanism had been narrated. Moreover, the precise computation had been separately carried on through the manual computing mode and the software computing mode to the level control element, as see from the computation result, the finite element analysis surpasses the manual computation obviously by the high precision, the quick computation speed and the easy operation.
     Based on the prototype, the adjusting level experiment based on the imagery processing had been done, namely carrying on the filter, the threshold value division and the edge detection through the SWIFT algorithm to the gathering image, and obtaining the long minor axis, the central coordinates and the major axis with X axis included angle of the ellipse. The process of adjustment target surface and the camera surface parallel process is using firstly the horizontal accommodometer to adjust approximately the target and the horizontal plane vertical, then using imagery processing method separately to adjust left camera image plane and right camera image plane with target surface parallel. In the entire adjustment process, the entire wrap organization can easy movement, convenient adjustment, easy operation, and the camera demarcation experiment based on the target surface adjustment with two camera image plane parallel had been carried on, as see from the demarcation situation, the demarcation process becomes extremely simple.
引文
[1]贾云得.机器视觉[M].科学出版社.2000.4
    [2] Chenn A,Walsh C A.Cranking it up a notch[J].Science,1999,286(5440):689-690
    [3]章毓晋.图像理解与计算机视觉[M].北京:清华大学出版社,2000.81-102,108-141
    [4] Roberts LG. Machine perception of three-dimensional solids. In:Optical and Electro-optical Information Processing[J]. Cambridge: MIT Press, 1965,159-197
    [5] Guzman A.Decomposition of a visual scene into three-dimensional bodies. In:Automation Interpretation and Classification of Images[J]. New York: Academic Press. 1969.146-195
    [6] Mackworth A K. Interpreting pictures of polyhedral scenes[J]. Artificial Intelligence, 1973,4(2):121-137
    [7] Marr D.Vision: A computational investigation into the human representation and processing of visual information[M]. W.H. San Francisco: Freeman and Company.姚国正,刘磊,汪云九译.北京:科学出版社. 1988.5-17
    [8] Mouaddib E, Batle J, Salvi J. Recent progress in structured light in order to solve the correspondence problem in stereo vision [C]. Proceedings of the 1997 IEEE International Conference on Robotics and Automations, 1997
    [9] Kovacevic Y R. Real-time sensing of sag geometry during GTA welding [J]. Journal of Manufacturing Science and Engineering, 1997,119(2):151-160
    [10] Tech E K,Mital D P.A transputer-based automated visual inspection system for electronic devices and PCBs[J]. Optics and Lasers in Engineering,1995,22:161-180
    [11] Xu G, Zhang Z. Epipolar geometry in stereo, motion and object recognition[M]. The Netherlands: Kluwer Academic Publishers. 1996.79-204
    [12] David A. Forsyth, Jean Ponce. Computer Vision[M]. Prentice Hall, Inc.2003
    [13]陈海东.机器视觉的快速匹配与识别定位方法及其在自动检测中的应用研究[D].华南理工大学硕士学位论文.1999
    [14]苏健,凌梁建.机器视觉技术在烟草行业的应用[J].技术创新与应用. 2008:90(6):72-73
    [15]陈静,朱伟兴,苏威.基于机器视觉的种子千粒重测定系统的设计[J].传感器与微机系统.2008:27(9):97-99
    [16]闫富江,王东胜,王俊.机器视觉技术在交通领域的应用探讨[J].黑龙江交通术.2008:175(9):109
    [17]覃毅.基于机器视觉技术的玻璃瓶的质量检测方法[J].分析与检测. 2008:92(8):110-111
    [18]祁圣君.基于双目视觉的小行星软着陆导航方法研究[D].哈尔滨工业大学硕士学位论文.2007
    [19] Yajun Fang,Ichiro Masaki,and Berthold Horn.Depth-Based Target Segmentation for Intelligent Vechicle:Fusion of Radar and Binoculor Stereo[J].IEEE Transactions on Intelligent Transportation Systems,2002,3(3).135-167
    [20] Kei Okada,Masayuki Inada.Integration Of Real-Time Binocular Stereo Vision and Whole Body Information for Dynamic Walking Navigation of Humanoid Robot[C].IEEE conference on Multisensor Fusion and Intergration for Intelligent Systems. 2003
    [21] J.Kawaguchi,T.Hashimoto,T.Kubota and S.Sawai.Autonomous Optical Guidance and NavigationStrategy around a Small Body.Journal of Guidance[J],Control and Dynamics.1997,20(5):1010~1220
    [22] T.Kubota,T.Hashimoto and J.Kawaguchi,et al.An Autonomous Navigationand Guidance System for MUSES-C Asteroid Landing[J].Acta Astronautica.2003,52:125~131
    [23] Clark F.Olson,Habib Abi-Rached,Ming Ye,Jonathan P.Hendrich.Wide-baseline stereo Vision for Mara Rovers[C]. Proceeding of the 2003 IEEE/RSJ Intl.conference on Intelligent Robots and Systems. 2003.10
    [24]肖宝平.双CCD仿人眼颈系统运动分析与控制研究[D].浙江大学硕士学位论文,2004
    [25]祝世平,强锡富.基于坐标测量机的双目视觉测距误差分析[J].电子测量与仪器学报.2000:14(2)26-31
    [26]赵勇,廖延彪,赖淑蓉.复杂轮廓表面激光检测及三维重构技术的研究[J].光学技术. 2002:28(2)172-173
    [27]高庆吉,洪炳熔,阮玉峰.基于异构双目视觉的全自主足球机器人导航[J].哈尔滨工业大学学报,2003:35(9):21-24
    [28]朱丹凤.基于激光点的空间物体的视觉测距方法与实验研究[D].硕士学位论文,2008
    [29] Kim B H,Roh D K,Lee J M,et al.Localization of a mobile robot using images of a moving target[C].In:Proceedings of the 2001 IEEE Intermational Conference on Robotics & Automation, Seoul, Korea,2001:253~258
    [30] JUN J,KIM C.Robust camera calibration using neural net—work[C] TENCON 99, Proceedings of the IEEE Region 10 Conference, 1999, 1(9):694—697
    [31]朱兴龙.基于立体视觉和激光标记的空间物体位姿的快速定位算法[J].机械工程学报, 2004, 40(7):164-169
    [32] Minoru Asada,Takamaro Tanaka.Visual Tracking Of Unknown Moving Object By Binocular Visual Servoing[C].Proceeding of the 1999 IEEE International Conference on Multisensor Fusion and Intelligent Systems.1999
    [33] Vallerand Steve,Kanbara Masayuki,Yokora Naokazu.Binocular Vision-Based Augmented Reality System With An Increased Registration Depth Using Dynamic Correction of Feature Positions[J]. Proceeding of the 2003 IEEE,Virtual Reality.March 2003, 22-26,271-272
    [34]朱兴龙,周骥平.带激光源的双目立体视觉机构设计[J].电气技术与自动化,2005,34(4):129-131
    [35]朱效明,高稚允.双CCD立体视觉系统的理论研究[J].光学技术,2003,29(3):298—300
    [36]卞德广,朱兴龙,周骥平,杨晓俊,朱军军.双目立体视觉中水平调节机构的有限元分析[J].机械设计
    [37]张晓静,战智涛.基于倾角传感器设计的帆船姿态仪[J].单片机与嵌入式系统应用,2008,28(5):54-55
    [38]倪厚强,卞德广,周骥平,朱兴龙,杨晓俊.双目立体视觉运动机构的设计[J].机械设计与研究,2008,24(6):117-120
    [39]刘江华,陈佳品,程君实,等.双目视觉平台的研究[J].机器人技术与应用,2002,1(1):36-40.
    [40]申永胜.机械原理教程[M].清华大学出版社.1999.8
    [41]濮良贵,纪名刚.机械设计[M].高等教育出版社.2001.6
    [42]周建方.材料力学[M].机械工业出版社.2002.1
    [43]邹慧君.机械系统设计原理[M].科学出版社.2003
    [44]方建军,刘仕良.机械动态仿真与工程分析[M].化学工业出版社.2004.7
    [45]韩虎,曾庆良,王成龙,张广磊.基于Pro/E的鱼雷专用吊横梁结构优化设计[J].机械制造,2006,497(44):21-22
    [46]毛君,褚德英,汝长青.基于Pro/Engineer的刮板输送机三维动态仿真与优化设计[J].煤炭科学技术,2003,31(12):8—11
    [47]张雪艳,毛君,曹艳丽等.Pro/Engineer在独立接连环结构设计中的应用[J].煤矿机械,2005,(2)
    [48]张继春,徐斌,林波.Pro/Engineer wildfire[M].北京:机械工业出版社,2004
    [49]周宁,冼进.ANSYS机械工程应用实例[M].中国水利水电出版社.2006
    [50]李卫民,杨红义,王宏祥等. ANSYS工程结构[M].化学工业出版社.2006
    [51]刘伟军,董再励.基于立体视觉的移动机器人自主导航定位系统[J].高技术通讯,2001,11(10):91-94
    [52]吴卫国,陈辉堂.基于彩色图像的移动机器人定位[J].机器人,1999,21(5):340-346
    [53]郝颖明.路标定位中的优化选择策略[J].高技术通讯,2001,11(8):82-85
    [54] Atiya s, Hager G D. Real-time Vision-Based Robot Location [J]. IEEE Transaction on Robotics and Automation 1993, 9(6):785-800
    [55] Yoshimi B H, Alen P K. Alignment Using an Uncalibrated Camera system [J]. IEEE Transaction on Robotics and Automation,1995,11(4): 516-521
    [56] Yoshimi B H, Alen P K. Active Uncalibrated Visual Servoing [A].Proc. 1994 IEEE International conference on Robotics and Automation[C]. San Diego, California: IEEE Robotics & Automation Society, 1994.156-161
    [57] Nguyen M C, Graefe V. Self-Leaning Vision-Guided Robots for Searching and Grasping Objects[A]. International Conference on Robotics and Automation[C]. San Francisco, California: IEEE Robotics & Automation Society, 2000.1633-1638
    [58] Yoshimi B H, Alen P K. Visual Control of Grasping and Manipulation Tasks[A]. Proc.1994 IEEE, International Conference on Multisensor Fusion and Integration for Intelligent System[C]. Lasvegas, Nevada, USA:IEEE computer Society Press,1994.575-582
    [59]朱枫.像平面与空间平面的变换及其在移动机器人中的应用[J].机器人,1998,20(2):98-103
    [60]潘且鲁,苏剑波,席裕庚.眼在手上机器人手眼无标定三维视觉跟踪[J].自动化学报,2002,28(3):371-377
    [61]汤思维.移动机器人多目标彩色视觉跟踪系统[J].机器人,2003,25(1):8-14
    [62] Kane J S,贡树行.光学设计是机器视觉系统的关键[J].红外,1999,(8):37~39
    [63]陈桂明,张明照,戚红雨.应用Matlab语言处理数字信号与数字图像[M].北京:科学出版社,2000
    [64] Kenneth R Castle.数字图像处理[M].北京:电子工业出版社,1998
    [65]吕风军.数字图像处理技术与应用[M].北京:清华大学出版社,1999
    [66]郑南宁.计算机视觉模式识别[M].北京:国防工业出版社,1998
    [67] Ayache N, Lustman F. Trinocular Stereo Vision for Robotics[J]. IEEE Tran. On Pattern Analysis and Machine Intelligence,1991,13(1).658-662
    [68] Redert A, Hendriks E. Accurate and Robust marker localization algorithm for camera calibration [A]. Proceeding of the First international Symposium on 3D Date Processing Visualization and Transmission[C]. Prodova, Italy: University of padova, 2002.695-711
    [69] Kim Jun-Sik, Kwepon In-so. A New Camera Calibration Method for Robotic Application [A].Proc.2001.IEEE International Conference on Intelligent Robots and system[C].Maui Hawaii, USA:IEEE Robotics & Automation Society, 2001. 778-783
    [70]王新成.高级图像处理技术[M].中国科学技术出版社. 2000.12-36
    [71] Fu K S, Mui J K. A survey of image segmentation[J]. Pattern Recognition 1981,13(1): 3-16
    [72] Haralick R M, Shapiro L G. Image segmentation techniques[J]. Computer Vision, Graphics and Image Processing, 1985,29:100-132
    [73] P K et al. A survey of thresholding techniques[J]. Computer Vision, Graphics and Image Processing, 1988,41: 233-260
    [74] Khil R. Pal and Sankar K. Pal, A review on image segmentation techniques[J]. Pattern Rcognition 1993,26(9):1277-1294
    [75]吴一全,朱兆达.图像处理中阈值选取方法30年(1962-1992)的进展(一)[J].数据采集与处理, 1993, 9(3): 193-201
    [76]吴一全,朱兆达.图像处理中阈值选取方法30年(1962-1992)的进展(二)[J].数据采集与处理, 1993, 9(4): 268-281
    [77]赵荣椿,迟耀斌,朱重光.图像分割技术进展[J].中国体视学与图像分析.1998, 3(2): 121-128
    [78]王秋让.基于自动门限化的图像分割以目标提取方法研究[D].西北工业大学博士论文.2002
    [79]刘平.图像分割阈值选取技术综述[M].中科院成都计算所.2004
    [80] Doyle W. Operations useful for similarity-invariant pattern recognition[J]. J ACM, 1962,9(2): 259-267
    [81] Otsu N. Discriminant and least square threshold selection[J]. In: Proc 4IJCPR, 1978,592-596
    [82] Kittler J, Illingworth J. On threshold selection using clustering criteria[C]. IEEE Trans. 1985. SMC-15: 652-655
    [83]张超,张家树,贾东立.基于混沌遗传算法的图像阈值分割[J].计算机工程与应用,2006,(2):45-47
    [84]周露芳,古乐野.基于量子遗传算法的二维最大嫡图像分割[J].计算机应用,2005,25(8):1805-1807
    [85]马颂德,张正友.计算机视觉——计算理论与算法基础[M].科学出版社,1998.11-34
    [86]徐建华.图像处理与分析[M].北京:科学出版社,1992.56-89
    [87] Pratt W K. Digital Image Processing[M].New York:Wiley,1991.87-112
    [88]章毓晋.图像分割[M].北京:科学出版社,2001.158-190
    [84]倪厚强,陈建新,张志高,朱兴龙.基于混合遗传算法的机器人操作臂最优路径规划[J].机械设计.2008,25(12):34-35
    [85] Guillaume Morel,Karl Iagnemma,Steven Dubowsky.The precisecontrol of manipulators with highjoint-friction using base force/torque sensing[J].Automatica,2000,36(7):931—941
    [86]马培荪,王建滨,朱海鸿,等.一种蛇形柔性臂的系统及结构[J].上海交通大学学报,2001,35(1):72—75
    [87] Cai Zixing,Tang Shaoxian.A multi·robotic planning based on expert system[J].High Technology Letters,1995,1(1):76—81
    [88]周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社.1999
    [89] Canny, John, A Computational Approach to Edge Detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,Vol. PAMI-8, No. 6, 1986, pp. 679-698
    [90] Lim, Jae S., Two-Dimensional Signal and Image Processing[J], Englewood Cliffs, NJ, Prentice Hall, 1990, pp. 478-488
    [91] Parker, James R., Algorithms for Image Processing and Computer Vision[J], New York, John Wiley & Sons, Inc., 1997, 23-29
    [92] Wilson W J,Hulls C C Williams.Relative end-effector control using Cartesian positon based visual servoring[J].IEEE Trans on Robotics and Automation, 1996, 12 (5):684-696
    [93] David A. Forsyth, Jean Ponce. Computer Vision: A modern approach[M].林学訚,王宏等译,电子工业出版社,2003.214-256
    [94] Slama C C. Manual of Photogrammtry[M]. American Society of Photogrmmetry, 1980.23-65
    [95]张广军.机器视觉[M].北京:科学出版社,2005.5-19
    [96] Tsai 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 and Automation, 1987,3 (4) : 323-344
    [97] Zhang Z Y. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (11): 1330-1334
    [98]霍龙,刘伟军,余光平.考虑径向畸变的摄像机标定及在三维重建中的应用[J].中国图像图形学报.2005, 1(1):1-3
    [99]张建新,段发阶,钟明等.用于三维尺寸检测的双目视觉传感器[J].计量学报.1999,20(2):96-100
    [100]文巨峰,周骥平,颜景平等.双目立体视觉的移动机器人实验平台的研究[J].制造业自动化.2001,23(12):31-33
    [101]吴正平.双目图像视觉计算机测量系统的研究和设计[D].武汉理工大学硕士学位论文.2002

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700