School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu, China.
Sensors (Basel). 2012;12(8):10947-63. doi: 10.3390/s120810947. Epub 2012 Aug 8.
In one-shot color structured light systems, the color of stripe patterns are typically distorted with respect to color crosstalk, ambient light and the albedo of the scanned objects, leading to mismatch in the correspondence of color stripes between the projected and captured images. In this paper, an adaptive color calibration and Discrete Trend Transform algorithm are presented to achieve high-resolution 3D reconstructions. The adaptive color calibration, according to the relative albedo in RGB channels, can improve the accuracy of labeling stripe by alleviating the effect of albedo and ambient light while decoding the color. Furthermore, the Discrete Trend Transform in the M channel makes the color calibration an effective method for detecting weak stripes due to the uneven surfaces or reflectance characteristics of the scanned objects. With this approach, the presented system is suitable for scanning moving objects and generating high-resolution 3D reconstructions without the need of dark laboratory environments.
在单次彩色结构光系统中，由于颜色串扰、环境光和被扫描物体的反射率，条纹图案的颜色通常会发生失真，从而导致投射图像和拍摄图像之间的颜色条纹对应关系不匹配。在本文中，提出了一种自适应颜色校准和离散趋势变换算法，以实现高分辨率的 3D 重建。自适应颜色校准根据 RGB 通道中的相对反射率，可以通过减轻反射率和环境光的影响来提高标记条纹的准确性，同时对颜色进行解码。此外，M 通道中的离散趋势变换使得颜色校准成为检测由于扫描物体表面不均匀或反射率特性而导致的弱条纹的有效方法。通过这种方法，所提出的系统适用于扫描运动物体，并在不需要暗室环境的情况下生成高分辨率的 3D 重建。
