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作 者:汤其剑 刘欣运 吴禹 刘晓利[1] 刘梦龙 李清泉[3] 彭翔[1] Tang Qijian; Liu Xinyun; Wu Yu; Liu Xiaoli; Liu Menglong; Li Qingquan; Peng Xiang(Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen , Guangdong 518060, China ; Shenzhen ESUN Co. , Ltd., Shenzhen, Guangdong 518000, China;3Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geo-Information, Shenzhen University, Shenzhen, Guangdong 518060, China)
机构地区:[1]深圳大学光电工程学院光电子器件与系统(教育部/广东省)重点实验室,广东深圳518060 [2]深圳市易尚展示股份有限公司,广东深圳518000 [3]深圳大学海岸带地理环境监测国家测绘地理信息局重点实验室,广东深圳518060
出 处:《中国激光》2018年第10期174-181,共8页Chinese Journal of Lasers
基 金:国家重点研发计划(2017YFF0106401);国家自然科学基金(61701321);广东省科技计划项目(2017A010102023);深圳市政府科技项目(JCYJ20160520160747570)
摘 要:详细介绍了基于数字散斑相关技术的三维重建方法,包括双目立体视觉基本原理以及散斑三维重建基本流程。重点分析了整像素对应点查找方法以及基于牛顿-拉弗逊迭代的亚像素插值算法,实现了散斑亚像素级三维重建。针对数字散斑相关计算模型,分析了影响相关系数的因素,并围绕相关系数计算和亚像素同名点插值精度两方面重点分析了二值随机散斑和灰度随机散斑的三维重建效果。通过设计不同尺寸颗粒的散斑图案和采用不同大小的相关计算窗口,分别对平面陶瓷板和陶瓷标准球进行了三维重建精度分析。实验结果表明,二值散斑能获得更高的重建精度。The three-dimensional reconstruction method based on digital speckle correlation technique is introduced in detail, including the basic principle of binocular stereo vision and the three-dimensional reconstruction process. The integer pixel search method and the subpixel interpolation algorithm based on Newton-Raphson iteration are emphatically analyzed, and the subpixel-level reconstruction is realized. According to the correlation model, the factors affecting the correlation coefficients are analyzed. Three-dimensional reconstructions by the binary and 8 grayscale speckles are discussed in terms of coefficient calculation and subpixel location precision. The ceramic plate and the ceramic standard ball are reconstructed by patterns with different speckle sizes and correlation region sizes in the experiments. Test results demonstrate that the reconstruction by the binary speckle has a better performance.
关 键 词:测量 三维测量 数字散斑 相关计算 二值散斑 亚像素
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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