IEEE Trans Image Process. 2015 Dec;24(12):5531-42. doi: 10.1109/TIP.2015.2481707. Epub 2015 Sep 23.
Conventional fringe projection profilometry methods often have difficulty in reconstructing the 3D model of objects when the fringe images have the so-called highlight regions due to strong illumination from nearby light sources. Within a highlight region, the fringe pattern is often overwhelmed by the strong reflected light. Thus, the 3D information of the object, which is originally embedded in the fringe pattern, can no longer be retrieved. In this paper, a novel inpainting algorithm is proposed to restore the fringe images in the presence of highlights. The proposed method first detects the highlight regions based on a Gaussian mixture model. Then, a geometric sketch of the missing fringes is made and used as the initial guess of an iterative regularization procedure for regenerating the missing fringes. The simulation and experimental results show that the proposed algorithm can accurately reconstruct the 3D model of objects even when their fringe images have large highlight regions. It significantly outperforms the traditional approaches in both quantitative and qualitative evaluations.
传统的条纹投影轮廓术方法在条纹图像由于附近光源的强照明而出现所谓的高亮区域时，往往难以重建物体的 3D 模型。在高亮区域内，条纹图案常常被强反射光淹没。因此，原本嵌入在条纹图案中的物体的 3D 信息就无法再被提取出来。本文提出了一种新颖的填孔算法来恢复存在高亮区域的条纹图像。该方法首先基于高斯混合模型检测高亮区域。然后，生成缺失条纹的几何草图，并将其用作迭代正则化过程的初始猜测，以再生缺失的条纹。仿真和实验结果表明，即使物体的条纹图像有大的高亮区域，该算法也能准确地重建物体的 3D 模型。在定量和定性评估方面，它都明显优于传统方法。
