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一种采用单目手眼视觉的目标位置测量方法 被引量:3

A target localization method with monocular hand-eye vision
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摘要 机械臂末端安装双目视觉,会降低其在障碍环境下的可通过性。针对此问题,本文构建了一种单目手眼与激光结合的位置测量方法,先通过手眼获取光斑,利用投射位置、投射点与手眼光轴的相对位置关系构建测量方法,然后采用D-H模型构建坐标转换系统,计算目标点的位置。目标测量精度与距离负相关,适用于中短距离的位置测量。与目前常用的双目测量方法相比,本方法减少了摄像机使用个数,降低了机械臂末端测量系统的宽度,更适用于狭窄空间作业,同时也提高了机械臂的有效载荷能力。 The installation of binocular vision at the end of a manipulator reduces its availability in environments with obstacles. To deal with the problem, this study puts forward a target localization method using a laser and the monocular hand-eye vision. In the proposed method, the centre of the laser spot is obtained by the hand-eye vision, and the geometric relations among the laser emission point, light-spot and the optical axis of the camera are used to calculate the distance. Then, the D-H method is employed to construct the coordinate conversion system, so that the location of the target can be calculated. The measuring precision is negatively correlated with the distance, and it is suitable for the measurement in medium or short distance. Compared with the commonly used binocular measurement methods, the proposed method uses fewer cameras, which reduces the width of the measurement system on manipulators, and makes it more applicable to narrow workspace. Moreover, it also improves the effective load capacity of manipulators.
作者 张波涛 仲朝亮 吴秋轩 Zhang Botao;Zhong Chaoliang;Wu Qiuxuan(School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China)
出处 《光电工程》 CAS CSCD 北大核心 2018年第5期54-62,共9页 Opto-Electronic Engineering
基金 国家自然科学基金资助项目(61503108) 浙江省自然科学基金资助项目(LY17F030022)~~
关键词 机器视觉 机械臂 三维定位 机器人应用 machine vision manipulator 3D-localization robot applications
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  • 1Daniel Scharstein, Richard Szeliski. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms [J]. I$CV(S0920-5691), 2002, 47(1): 7-42.
  • 2Kostkova J, Sara R. Automatic Disparity Search Range Estimation for Stereo Pairs of Unknown Scenes [C]// Computer Vision Winter Workshop, Piran, Slovenia, February4-6, 2004: 1-10.
  • 3Cyganek B, Borgosz J. An Improved Variogram Analysis of the Maximum Expected Disparity in Stereo Images [C]// Scandinavian Conference on Image Analysis, Halmstad, Sweden, June 29-July 02, 2003: 640-645.
  • 4MIN Dongbo, YEA Sehgon, Arican Zaferet, al. Disparity searh ge estimation: Enfotcifig Temporal Consistency [C]// IEEE Conference on Acoustics Speech and Signal Processing, Dallas, Texas, March 14-19, 2010: 2366-2369.
  • 5LI R, HAM B, Oh C, et al. Disparity Search Range Estimation Based on Dense Stereo Matching [C]//IEEE Conference on Industrial ElectronicsandApplications, Melbourne, Australia, June 19-21, 2013: 753-759.
  • 6Gandhi V, Cech J, Horaud R. High-Resolution Depth Maps Based on TOF-Stereo Fusion [C]//IEEE Conference on Robotics andAutomation, St Paul, MN, May 14-18, 2012: 4742-4749.
  • 7ZHANG Xiuda, YAN Huimin, JIANG Yanbing. Pulse-shape-free method for long-range three-dimensional active imaging with high linear accuracy [J]. Optics Letters(S0146-9592), 2008, 33(11): 1219-1221.
  • 8Hirschmuller H, Scharstein D. Evaluation of Stereo Matching Costs on Images with Radiometric Difference [J]. IEEE TPAMI(S0162-8828), 2009, 31(9): 1582-1599.
  • 9ZHANG Ke, LU Jiangbo, Lafruit G Cross-Based Local Stereo Matching Using Orthogonal Integral Images [J]. IEEE TCSVT(S1051-8215), 2009, 19(7): 1073-1079.
  • 10ZHANG Zhengyou. A Flexible New Technique for Camera Calibration [J]. IEEE TPAMI(S0162-8828), 2000, 22(11): 1330-1334.

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