Point cloud lossless compression

Abstract

We propose a method of downsizing technique for point sampled data which reduces information amount of three dimensional point cloud data. Our method generates clusters and spiral chain lists. Each chain is consists of three dimensional points. After that, we adopt a predictive encoding to compress these chain lists. In addition, we show the effectiveness of our method with same experimental results by comparison with one of conventional methods. From these experiments, our method can reduce the information amount coordinate data to 31.7% of original model.