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作 者:李子琦 王谦[1] 杨海波 贾军营 王佳林 周洪志 LI Ziqi;WANG Qian;YANG Haibo;JIA Junying;WANG Jialin;ZHOU Hongzhi(Shenyang University of Technology,Shenyang 110870,China;Shenyang Fengchi Software Co.,Ltd,Shenyang 110167,China)
机构地区:[1]沈阳工业大学信息科学与工程学院,沈阳110870 [2]沈阳风驰软件股份有限公司,沈阳110167
出 处:《激光杂志》2024年第9期124-131,共8页Laser Journal
基 金:辽宁省科学技术计划项目(No.2022JH2/101300243);辽宁省自然科学基金(面上)项目(No.2022-MS-438);辽宁省教育厅基本科研项目(No.LJKFZ20220184);辽宁省“揭榜挂帅”重点科技攻关专项(No.2022JH1/10800085)。
摘 要:双目结构光三维成像技术,通过投影结构光获取被测物体高度分布,进而获取物体三维信息,可广泛应用于工业生产、医疗研究等领域。目前应用较多的基于格雷相移法的三维成像技术由于环境光、镜头光学误差等不稳定因素的干扰,依然存在解码错误、匹配不准确等问题。在现有技术基础上,提出了一种改进算法,该算法采用互斥互补格雷码的方式进行投影,利用双向均值化的解码方法解包裹相位,通过掩膜约束的立体匹配方式生成高质量点云数据。经过实验分析和验证,本算法较传统算法相比精度提升了11.49%.,平均点集数量提升了14.82%,证明该算法可以有效抑制光学噪声干扰,提高三维成像的精度。The binocular structured light 3D imaging technology can obtain the height distribution of the measured object by projecting structured light and then obtaining 3D information about the object.It can be widely used in industrial production,medical research,and other fields.However,due to the interference of unstable factors such as ambient light and optical lens errors,the widely used three-dimensional imaging technology based on Gray phase shift technology still needs fixing,such as decoding errors and inaccurate matching.This paper proposes an improved algorithm based on existing technology.The algorithm uses mutually exclusive complementary Gray codes for projection,uses a bidirectional averaging decoding method to unwrap the phase,and generates high-quality point cloud data through mask-constrained stereo matching.After experimental analysis and verification,the algorithm in this paper has improved its accuracy by 11.49%compared to traditional algorithms,and the average number of point sets has increased by 14.82%.This proves that the algorithm can effectively suppress optical noise interference and improve the accuracy of 3D imaging.
分 类 号:TN201[电子电信—物理电子学]
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