论文标题
3D范围几何压缩的深度范围减小
Depth Range Reduction for 3D Range Geometry Compression
论文作者
论文摘要
在各种行业和应用中，正在迅速采用三维（3D）形状的测量设备和技术。随着获取3D范围数据变得更快，更准确，有效存储，传输或流式传输此数据变得更具挑战性。压缩3D范围数据的一种流行方法是在常规2D图像的颜色通道中对其进行编码。本文提出了一种新的方法，用于减少3D几何的深度范围，以便可以使用较低的编码频率（或更少的编码时间数）将其存储在2D图像中。这样可以实现较小的压缩文件尺寸，而无需重新构建错误的成比例增加。此外，由于所提出的方法在编码之前发生，因此它很容易与各种基于图像的3D范围几何压缩方法兼容。
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.
