Lossless Compression of 3D Grid-Based Model Based on Octree

Abstract

Summary form only given. Grid-based model is used to describe 3D objects in many circumstances. It can represent fine structure of objects by using small grid. However, small grid causes problem that data of grid-based model occupies much space, which leads to difficulties of transmission and storage. This paper presents an effective compression method for 3D data. In this method, 8-byte float coordinates of each grid are transferred to 1-bit binary codes. Then the binary data is coded by octree further. The experiment result shows that the 3D data can be efficiently compressed. The method is lossless. The complete raw data can be obtained by decoding.