基于光能传递的大型复杂构件自适应高动态单幅图像三维测量方法研究
结题报告
批准号:
52005333
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
尹小恰
依托单位:
学科分类:
制造系统与智能化
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
尹小恰
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中文摘要
针对利用多视角结构光视觉测量在大型复杂构件三维检测中存在的制约其实现高动态、高精密和高速度等测量性能的共性技术难题,本项目研究基于光能传递的自适应高动态单幅图像结构光测量新原理和新方法。首先,针对高动态曲面对测量精度和速度的限制,通过研究结构光投影在传递过程中经高动态表面反射以及成像系统光度学响应的调制规律,提出基于光能传递的自适应高动态单幅图像结构光投影方法;其次,提出基于绝对二次曲线成像和逆透视投影的单位姿闭式结构光系统标定技术,解决结构光系统标定技术面临的需人工辅助和效率低下的问题;最后,针对大场景高密度点云给测量速度和精度带来的挑战,提出基于点云特征粗匹配的高斯混合模型点云拼接融合方法。预期研究成果将为大型复杂构件的精密形貌测量提供基础理论和关键技术支撑。
英文摘要
Aiming at the common technical challenges that restrict the measurement performance such as high dynamic, high precision and high speed in 3D detection of large complex equipment utilizing the multi-view structured light vision measurement method, the new principles and means of adaptive high dynamic range single-image structured light measurement based on light energy transfer are studied in this project. Firstly, in order to break the limitation of measurement accuracy and efficiency caused by high dynamic range surfaces, an adaptive high dynamic range single-image structured light projection method based on the light energy transfer is proposed by studying the surface reflection distribution properties and light response curve of the imaging system. Then, in order to solve the problems of manual assistance and low efficiency in the calibration of structured light system, a single-pose closed-form parameter identification technique based on absolute conic imaging and inverse perspective projection is proposed. Finally, aiming at the challenge of high density point cloud in large scenes, a Gaussian mixture model point cloud fusion method based on rough registration of point cloud feature is proposed. It is expected that the research results will provide the basic theory and key technique support for the precision 3D measurement of large complex equipment.
期刊论文列表
专著列表
科研奖励列表
会议论文列表
专利列表
DOI:10.1117/1.oe.60.11.114102
发表时间:2021-11
期刊:Optical Engineering
影响因子:1.3
作者:Zhu Wan;Leijie Lai;Xiaoqia Yin;Jian Mao;Limin Zhu
通讯作者:Zhu Wan;Leijie Lai;Xiaoqia Yin;Jian Mao;Limin Zhu
DOI:10.1016/j.optcom.2021.127659
发表时间:2021-11
期刊:Optics Communications
影响因子:2.4
作者:Xiaoqia Yin;M. Ren;Limin Zhu
通讯作者:Xiaoqia Yin;M. Ren;Limin Zhu
国内基金
海外基金