Commodity 3D Display based on Point Cloud Reconstruction

被引：0
|
作者：
Fu, Yujie [1 ]
Jia, Tong [1 ]
Song, Zhaozhan [1 ]
Peng, Bo [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
基金：
中国国家自然科学基金;
关键词：
Three dimensional commodity display; Octree compression; 3D reconstruction; Projection algorithm for region growth; DELAUNAY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Commodity display is very important in online shopping. In this paper, a method of reconstructing the commodity 3D model is proposed. Firstly, this paper accepts point clouds of a commodity from different angles. Secondly, before initial alignment, this paper compresses point clouds based on octree. Thirdly, this paper aligns all point clouds. At last, we reconstruct the commodity surface. In this step, a point cloud smoothing algorithm based on MLS and a Delaunay growth projection algorithm are proposed. Experimental results demonstrate that the computation time consumed by our improved registration algorithm is only one sixth of that of traditional one. And the quality only decreases slightly. The commodity 3D model has been successfully and efficiently reconstructed.
引用
收藏
页码：5617 / 5622
页数：6
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