Preprocessing Using Classification for Lossless Compression of 3D Geometry Data

摘要

This paper describes a preprocessing method for lossless compression of 3D geometry data. Geometry data consists of vertices that are the three-dimensional location data in 3D space. Normally, a 3D scanner produces a huge data including 3D geometry data from an object. Thus, a compression method is required to transmit 3D data over networks and state-of-the-art techniques have been studied. In this paper, we propose a method to improve the existing methods. To do so, a simple and efficient classification method is introduced. The classification in the proposed method can reduce the number of vertices. The overhead data from the classification are compressed by a lossless compression such as an arithmetic coder. Experimental results indicate that the proposed method is superior to the existing methods. In addition, our method can be combined with any existing method.