One-shot depth acquisition with a random binary pattern.
One-shot depth acquisition with a random binary pattern.
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DOI：
10.1364/ao.53.007095
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发表时间：
2014-10
期刊：
影响因子：
1.9
通讯作者：
Qin Li;Fu Li;Guangming Shi;Shan Gao;Ruodai Li;Lili Yang;Xuemei Xie
中科院分区：
文献类型：
--
作者：
Qin Li;Fu Li;Guangming Shi;Shan Gao;Ruodai Li;Lili Yang;Xuemei Xie
本文提出了一种新的空间编码方法，将随机二进制模式与改进的相位差匹配方法相结合，获得密集而精确的深度图。与使用彩色的图案相比，所采用的二进制图案可以简化图案投射装置。图案中斑点的密度是周期性的，而它们的位置是随机的。基于这两个特性，我们提出了一种改进的相位差对应方法，该方法分为两个步骤：粗匹配步骤，通过分析图像的相位值来估计图案中像素的近似坐标；细匹配步骤，补偿粗匹配结果的误差，达到亚像素精度。这种匹配方法不需要额外的计算复杂度较高的优化方法。在实验中，我们证明了该方法的有效性。并在实际实验中对该方法进行了验证。结果表明，该方法比飞行时间相机和Kinect具有优势，特别是在精度方面。
In this paper, we propose a new spatial encoding method that integrates the random binary pattern and the improved phase-difference-matching method to acquire a dense and precise depth map. The adopted binary pattern can simplify pattern projecting devices compared with the patterns that use color. The density of speckles in the pattern is periodic and the positions of them are random. Based on these two properties, we propose an improved phase-difference corresponding method, which is divided into two steps: the coarse matching step to estimate the approximate coordinates of pixels in the pattern via analyzing the phase values of the image, and the fine matching step to compensate errors of the coarse matching results and to achieve subpixel accuracy. This matching method does not require an extra optimization method with high computational complexity. In the experiment, we show the effectiveness of the proposed method. We also evaluate this method in actual experiments. The results show that this method has advantages over the time-of-flight camera and Kinect, particularly in terms of precision.