Complete 3D Surface Reconstruction from an Unstructured Point Cloud of Arbitrary Shape by Using a Bounding Voxel Model

被引:1
|
作者
Li, Rixie
Kim, Seok-Il
机构
关键词
Surface Reconstruction; Point Cloud; Complete Matching; Bounding Voxel Model; Reverse Engineering;
D O I
10.3795/KSME-A.2006.30.8.906
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This study concerns an advanced 3D surface reconstruction method that the vertices of surface model can be completely matched to the unstructured point cloud measured from arbitrary complex shapes. The concept of bounding voxel model is introduced to generate the mesh model well-representing the geometrical and topological characteristics of point cloud. In the reconstruction processes, the application of various methodologies such as shrink-wrapping, mesh simplification, local subdivision surface fitting, insertion of isolated points, mesh optimization and so on, are required. Especially, the effectiveness, rapidity and reliability of the proposed surface reconstruction method are demonstrated by the simulation results for the geometrically and topologically complex shapes like dragon and human mouth.
引用
收藏
页码:906 / 915
页数:10
相关论文
共 50 条
  • [21] From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
    Li, Jiale
    Dai, Hang
    Shao, Ling
    Ding, Yong
    PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021, 2021, : 4622 - 4631
  • [22] AUTOMATIC BLOCK PATTERN GENERATION FROM 3D UNSTRUCTURED POINT CLOUD
    Huang, Haiqiao
    Mok, P. Y.
    Kwok, Y. L.
    Au, J. S.
    86TH TEXTILE INSTITUTE WORLD CONFERENCE, VOL 3, CONFERENCE PROCEEDINGS, 2008,
  • [23] A 3D Point Cloud Reconstruction Method
    Zhang, Yang
    Jia, Tong
    Chen, Yanqi
    Tan, Zexun
    2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 1310 - 1315
  • [24] A continuous surface reconstruction method on point cloud captured from a 3D surface photogrammetry system
    Liu, Wenyang
    Cheung, Yam
    Sabouri, Pouya
    Arai, Tatsuya J.
    Sawant, Amit
    Ruan, Dan
    MEDICAL PHYSICS, 2015, 42 (11) : 6564 - 6571
  • [25] Research on point-cloud collection and 3D model reconstruction
    Sheng, Jianan
    Zhang, Jian
    Mi, Hong
    Ye, Maosheng
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 5331 - 5336
  • [26] Point-Reconstruction-Network: 3D Point Cloud Reconstruction from a Single Image
    Yueqi Guang Huo
    Zhiqiang Niu
    Dawei Yang
    undefined Lin
    Pattern Recognition and Image Analysis, 2024, 34 (4) : 1288 - 1295
  • [27] An Approach to 3D Shape Blending Using Point Cloud Slicing
    Li, Mingzhu
    Lu, Zhangping
    Huang, Liqing
    2009 IEEE 10TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED INDUSTRIAL DESIGN & CONCEPTUAL DESIGN, VOLS 1-3: E-BUSINESS, CREATIVE DESIGN, MANUFACTURING - CAID&CD'2009, 2009, : 919 - +
  • [28] Point-cloud Registration Using 3D Shape Contexts
    Price, Mathew
    Green, Jeremy
    Dickens, John
    2012 5TH ROBOTICS AND MECHATRONICS CONFERENCE OF SOUTH AFRICA (ROBOMECH), 2012,
  • [29] A Novel Feature Point Detection Algorithm of Unstructured 3D Point Cloud
    Tian, Bei
    Jiang, Peilin
    Zhang, Xuetao
    Zhang, Yulong
    Wang, Fei
    INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2016, PT III, 2016, 9773 : 736 - 744
  • [30] Anomaly detection for fabricated artifact by using unstructured 3D point cloud data
    Tao, Chengyu
    Du, Juan
    Chang, Tzyy-Shuh
    IISE TRANSACTIONS, 2023, 55 (11) : 1174 - 1186