Depth range reduction for 3D range geometry compression

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