Depth Range Reduction for 3D Range Geometry Compression
This addresses storage and transmission challenges for industries using 3D shape measurement, though it is incremental as it builds on existing image-based compression methods.
The paper tackles the problem of compressing 3D range data by reducing its depth range to enable storage in 2D images with lower encoding frequencies, resulting in smaller file sizes without a proportional increase in reconstruction errors.
Three-dimensional (3D) shape measurement devices and techniques are being rapidly adopted within a variety of industries and applications. As acquiring 3D range data becomes faster and more accurate it becomes more challenging to efficiently store, transmit, or stream this data. One prevailing approach to compressing 3D range data is to encode it within the color channels of regular 2D images. This paper presents a novel method for reducing the depth range of a 3D geometry such that it can be stored within a 2D image using lower encoding frequencies (or a fewer number of encoding periods). This allows for smaller compressed file sizes to be achieved without a proportional increase in reconstruction errors. Further, as the proposed method occurs prior to encoding, it is readily compatible with a variety of existing image-based 3D range geometry compression methods.