一种新的De Bruijn彩色结构光解码技术研究

Study of a New Decoding Technology for De Bruijn Structured Light

为了有效地对De Bruijn彩色结构光编码图像进行高精度的解码,提出了一种新的解码方法,该方法包括基于梯度分析的中心彩色条纹提取方法、基于聚类分析的颜色分类方法和基于双梯度多通道动态规划的特征点匹配方法.该方法适用于每类颜色的像素点成线性分布的调制后结构光图像,能够有效地消除颜色干扰;同时充分利用局部邻域信息,有效地解决了特征点的匹配问题,提高了解码精度.实验表明该方法在不需要假定待测物体全表面单调和严格限制其连续性的条件下,可以有效地改善解码精度,具有较强的鲁棒性.

A new method is proposed aiming at decoding De Bruijn color encoded structured light images with high precision.This method is composed of the central color stripe identification based on gradient analysis,the color classification based on clustering analysis and the feature point matching based on double-gradient and multi-pass dynamic programming.The method can be applied to avoid color interference effectively in the encoded structured light images containing parallel pixel lines with different colors.Moreover,by making full use of local neighborhood information,the method can match every feature point.Experimental results show that the proposed method effectively improves the decoding accuracy without assuming that the surface of the target object is monotonous or restricting its continuity,and also exhibits good robustness.