Finley Matthew G, Nishimura Jacob Y, Bell Tyler
Appl Opt. 2020 Jun 10;59(17):5290-5299. doi: 10.1364/AO.389913.
State-of-the-art 3D range geometry compression algorithms that utilize principles of phase shifting perform encoding with a fixed frequency; therefore, it is not possible to encode individual points within a scene at various degrees of precision. This paper presents a novel, to the best of our knowledge, method for accurately encoding 3D range geometry within the color channels of a 2D RGB image that allows the encoding frequency-and therefore the encoding precision-to be uniquely determined for each coordinate. The proposed method can thus be used to balance between encoding precision and file size by encoding geometry along a statistical distribution. For example, a normal distribution allows for more precise encoding where the density of data is high and less precise encoding where the density of data is low. Alternative distributions may be followed to produce encodings optimized for specific applications. In general, the nature of the proposed encoding method enables the precision to be freely controlled at each point or centered around identified features of interest, ideally enabling this method to be used within a wide range of applications.
利用相移原理的最先进的三维距离几何压缩算法以固定频率执行编码；因此，不可能以各种精度对场景中的各个点进行编码。据我们所知，本文提出了一种新颖的方法，用于在二维RGB图像的颜色通道内精确编码三维距离几何，该方法允许为每个坐标唯一确定编码频率，进而确定编码精度。因此，所提出的方法可用于通过沿统计分布对几何进行编码来平衡编码精度和文件大小。例如，正态分布允许在数据密度高的地方进行更精确的编码，而在数据密度低的地方进行不太精确的编码。也可以采用其他分布来生成针对特定应用优化的编码。一般来说，所提出的编码方法的本质使得精度可以在每个点上自由控制，或者围绕已识别的感兴趣特征为中心进行控制，理想情况下，该方法能够在广泛的应用中使用。
