ポイントクラウドデータを基に生成した3Dモデルのポリゴン数削減手法

裴 昱州; 張 英夏; 向井 信彦

doi:10.11371/wiieej.23.04.0_315

Reports of the 308th Technical Conference of the Institute of Image Electronics Engineers of Japan

Session ID : 23-04-094

DOI https://doi.org/10.11371/wiieej.23.04.0_315

Conference information

Host: The Institute of Image Electronics Engineers of Japan

Co-host: The Institute of Image Information and Television Engineers, The Society for Art & Science, The Computer Graphic Arts Society(CG-ARTS)

Name : Reports of the 308th Technical Conference of the Institute of Image Electronics Engineers of Japan

Number : 308

Location : [in Japanese]

Date : March 05, 2024 -

A Reduction Method of the Number of Polygons Constructing a 3D Model Generated from Point Cloud Data

*Yuzhou PEI, Yongha CHANG, Nobuhiko MUKAI

Author information

Keywords: Computer Graphics, 3D Model Construction, Point Cloud Data, K-nearest Neighbor Algorithm

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details

Abstract

A 3D point cloud is generated from the photos taken with an iPhone stereo camera, and a triangular mesh model is constructed from the point cloud using the k-nearest neighbor method after noise removal. Since this mesh model includes back and overlap faces, the number of polygons in the 3D model can be reduced by integrating overlapping triangles into a single polygon after backface removal using the normal vectors of the faces. This paper describes how to reduce the number of polygons.

Corresponding author

Register with J-STAGE for free!