Research on Image Storage Based on 3D Point Cloud

Journal Title: Big Data and Cloud Innovation - Year 2017, Vol 1, Issue 1

Abstract

3D technology has been widely used in the fields of architecture, medical image, cultural relic protection, film production and 3D game. The polygon mesh is the most commonly used method for expressing the 3D model, it connects the points on the surface of the 3D model into polygons as a unit, which can express complex surfaces and provide strong adaptability. Especially in the use of triangular mesh the most widely used. But the triangular grid display, simplified, progressive transmission algorithm is not suitable for large-scale data sets. The triangular mesh data file described in this paper with the boundary ball data file conversion system will represent and gradually compress these triangular meshes. This representation is not only compact, but also can be quickly calculated, its biggest feature is the high compression ratio, saving a lot of time and space, which makes it suitable for large-scale data sets. Its execution program can serve large-scale 3D data processing projects. This article has demonstrated that this system can be converted to include a large order of magnitude polygon model.

Authors and Affiliations

Xiangning Ma,Jinghao Xu,Cailing Wu,Wanpeng Duan

Keywords

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  • EP ID EP679127
  • DOI -
  • Views 209
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How To Cite

Xiangning Ma, Jinghao Xu, Cailing Wu, Wanpeng Duan (2017). Research on Image Storage Based on 3D Point Cloud. Big Data and Cloud Innovation, 1(1), -. https://europub.co.uk./articles/-A-679127