融合尺度与信心指数的三维表面重建算法  

Three-dimensional surface reconstruction algorithm based on fusion of scale and confidence0x09

作　　者：李亚兰[1,2] 陆汝华 黄健全[1] 蒋纯志[1] 李翔[1] LI Yalan;LU Ruhua;HUANG Jianquan;JIANG Chunzhi;LI Xiang(Microelectronics and Optoelectronics Technology Key Laboratory of Hunan Higher Education,School of Physics and Electronic Electrical Engineering,Xiangnan University,Chenzhou 423000,China;Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems,Chenzhou 423000,China;School of Computer and Artificial Intelligence,Xiangnan University,Chenzhou 423000,China)

机构地区：[1]湘南学院物理与电子电气工程学院微电子与光电子技术湖南省普通高等学校重点实验室,湖南郴州423000 [2]先进嵌入式计算技术与智能医疗系统湖南省工程研究中心,湖南郴州423000 [3]湘南学院计算机与人工智能学院,湖南郴州423000

出　　处：《计算机集成制造系统》2024年第1期42-52,共11页Computer Integrated Manufacturing Systems

基　　金：湖南省自然科学基金资助项目(2023JJ50066);中国地震局教师科研基金资助项目(20150109);湘南学院电子科学与技术应用特色学科资助项目(XNXY20221210)。

摘　　要：针对包含细小结构场景的三维表面重建精度和完整度难以提高的问题,提出一种融合三维点云尺度与信心指数的三维表面重建算法。构建了一个表面隐函数,采用高斯函数为其基函数,三阶贝塞尔函数为其权重函数,并根据点云尺度与信心指数大小自适应调整基函数覆盖范围与权重函数取值。采用八叉树存储与处理数据,根据点云尺度大小自适应划分八叉树结构,从而自适应调整表面隐函数三维采样密度。通过无约束等值面提取方法,提取隐函数等值面,从而得到三维表面。与几种典型表面重建算法对比实验,结果表明所提算法重建三维表面细节清晰,整体重建精度与完整度均有提高。To resolve the problem of improving the three-dimensional surface reconstruction accuracy and completeness for scenes with small structures,a three-dimensional surface reconstruction algorithm based on the fusion of scale and confidence was proposed.A surface implicit function was constructed with Gaussian function as its basis function and third-order Bessel function as its weight function.The coverage of the basis function and the value of the weight function were adjusted adaptively according to the scale and confidence of point clouds.The data was stored and processed in the octree structure,which was adaptively divided according to the scale of point clouds,realizing adaptive three-dimensional sampling of the surface implicit function.The three-dimensional surface was obtained as the isosurface of the implicit function through the unconstrained isosurface extraction method.Compared with several typical surface reconstruction algorithms,the experimental results showed that the small structures reconstructed by the proposed algorithm were clear and the overall reconstruction accuracy and completeness were improved.

关 键 词：三维重建 八叉树 连续隐函数 尺度 信心指数 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]