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Boundary Inheritance Codec for high-accuracy structured light three-dimensional reconstruction with comparative performance evaluation

机译：具有比较性能评估的高精度结构光三维重建的边界继承编解码器

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摘要

This paper presents a new method of structured light-based 3D reconstruction, referred to here as Boundary Inheritance Codec, that provides high accuracy and low noise in projector-camera correspondence. The proposed method features (1) real-boundary recovery: the exact locations of region boundaries, defined by a coded pattern, are identified in terms of their real coordinates on the image plane. To this end, a radiance independent recovery of accurate boundaries and a disambiguation of true and false boundaries are presented. (2) Boundary inheritance: the consistency among the same boundaries of different layers in pattern hierarchy is exploited to further enhance the accuracy of region correspondence and boundary estimation. Extensive experimentations are carried out to verify the performance of the proposed Boundary Inheritance Codec, especially, in comparison with a number of well-known methods currently available, including Gray-code (GC) plus line/phase shift (LS/PS). The results indicate that the proposed method of recovering real boundaries with boundary inheritance is superior in accuracy and robustness to Gray-code inverse (GCI), GC + LS/PS. For instance, the error standard deviation and the percentile of outliers of the proposed method were 0.152 mm and 0.089%, respectively, while those of GCI were 0.312 mm and 3.937%, respectively, and those of GC + LS/PS were 0.280/0.321 mm and 0.159/7.074%, respectively.
机译：本文提出了一种新的结构化基于光的3D重建方法，在此称为边界继承编解码器，该方法可在投影机与摄像机的对应关系中提供高精度和低噪声。所提出的方法的特点是（1）实边界恢复：根据图像平面上的真实坐标，可以识别由编码模式定义的区域边界的确切位置。为此，提出了无辐射的准确边界恢复和对真假边界的消歧。 （2）边界继承：利用模式层次结构中不同层的相同边界之间的一致性，进一步提高了区域对应和边界估计的准确性。进行了广泛的实验，以验证提议的边界继承编解码器的性能，特别是与目前可用的许多众所周知的方法进行比较，包括格雷码（GC）加上线/相移（LS / PS）。结果表明，所提出的利用边界继承来恢复真实边界的方法在准确性和鲁棒性方面优于格雷码逆（GCI），GC + LS / PS。例如，该方法的误差标准偏差和离群点的百分数分别为0.152 mm和0.089％，而GCI的分别为0.312 mm和3.937％，GC + LS / PS的分别为0.280 / 0.321毫米和0.159 / 7.074％。

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