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Depth range reduction for 3D range geometry compression

机译：3D范围几何压缩的深度范围减小

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摘要

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.
机译：在各种行业和应用中，三维（3D）形状测量装置和技术正在迅速采用。由于获取的3D范围数据变得更快，更准确，有效地存储，传输或流传输此数据变得更具挑战性。压缩3D范围数据的一个主要方法是在常规2D图像的颜色通道内进行编码。本文介绍了一种用于减小3D几何的深度范围的新方法，使得它可以使用较低的编码频率（或较少的编码周期）来存储在2D图像内。这允许实现较小的压缩文件大小，而不是重建错误的比例增加。此外，随着所提出的方法在编码之前发生，它与各种基于图像的3D范围几何压缩方法易于兼容。

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