三维点云建模及测量算法研究  

Research on 3D Point Cloud Modeling and Measurement Algorithm

作　　者：朱宇耀 杜林莎 高峰[2] 陈建[2] ZHU Yuyao;DU Linsha;GAO Feng;CHEN Jian(Fuzhou ShineAsic Electronics Co.,Ltd.,Fuzhou 350100,China;College of Physics and Information Engineering,Fuzhou University,Fuzhou 350116,China)

机构地区：[1]福州耀天芯电子有限公司,福建福州350100 [2]福州大学物理与信息工程学院,福建福州350116

出　　处：《电视技术》2024年第10期67-71,共5页Video Engineering

基　　金：国家自然科学基金(62001117);福州市科技项目(2023-P-001)。

摘　　要：三维建模和测量技术已经广泛应用于生物识别、医学辅助诊断、工业精密仪器加工与检测等领域。然而,现有的软件在重建精度和测量效果上难以满足复杂需求,且软件升级和功能优化受限。对此,使用去噪、精简、配准及补全等技术实现三维物体的点云建模,进而根据特征点信息精确测量目标物体的体积、表面积。实验数据显示,重建模型可视性好,物体体积和表面积的测量误差均在0.03%以内,验证了该测量算法的有效性。3D modeling and measurement technology has been widely used in many fields such as biometrics,medical assisted diagnosis,industrial precision instrument processing and detection.However,the existing software is difficult to meet the complex requirements in reconstruction accuracy and measurement effect,and the software upgrade and function optimization are limited.In this paper,de-noising,simplifying,registration and completion techniques are used to achieve point cloud modeling of three-dimensional objects,and then the volume and surface area of target objects are accurately measured according to the information of feature points.The experimental data show that the visibility of the reconstructed model is good,and the measurement errors of the volume and surface area of the object are both within 0.03%,which verifies the effectiveness of the measurement algorithm.

关 键 词：点云建模 点云去噪 体积测量 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]