Xiang Sen, Deng Huiping, Yu Li, Wu Jin, Yang You, Liu Qiong, Yuan Zhenwei
Opt Express. 2017 Oct 30;25(22):27195-27209. doi: 10.1364/OE.25.027195.
In this paper, we propose a novel profilometry scheme to acquire high quality depth, where only a single shot of a monochromatic pattern is utilized. We design a band-wise pattern consisting of fringe bands spatially modulated with coprime periods. After that, with the designed pattern, depth is obtained in a hybrid manner, where both phase-based profilometry and active stereo are incorporated. To be specific, pixels in smooth regions obtain their depth values through phases analysis. Especially, based on depth smooth property, we propose a novel phase unwrapping algorithm, which avoids the problem of error propagation and yields accurate unwrapping phases. On the other hand, for boundary regions, spatial stereo, which is more robust to depth discontinuities, is utilized to modify incorrect depth values. Both theoretical verification and experimental results demonstrate that the proposed scheme can generate high quality depth maps, even for complex scenes and isolated objects.
在本文中，我们提出了一种新颖的轮廓测量方案来获取高质量深度信息，该方案仅利用单色图案的单次拍摄。我们设计了一种由具有互质周期的条纹带在空间上调制而成的波段式图案。在此之后，利用所设计的图案，以一种混合方式获取深度信息，其中结合了基于相位的轮廓测量和主动立体视觉。具体而言，平滑区域中的像素通过相位分析获得其深度值。特别是，基于深度平滑特性，我们提出了一种新颖的相位展开算法，该算法避免了误差传播问题并产生准确的展开相位。另一方面，对于边界区域，利用对深度不连续性更具鲁棒性的空间立体视觉来修正不正确的深度值。理论验证和实验结果均表明，所提出 的方案即使对于复杂场景和孤立物体也能生成高质量的深度图。
