通过一次发射条纹结构光进行密集深度采集

Qin Li, Fu Li, Guangming Shi, Fei Qi, Yuexin Shi, Shan Gao
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引用次数: 4

摘要

运动物体的深度采集在某些应用中变得越来越重要,例如人类面部表情识别。本文提出了一种利用黑白条纹模式一次性捕获运动物体深度图的方法,该方法具有简单、易于生成的特点。考虑到匹配精度对精确的深度图至关重要,但变宽条纹的匹配是稀疏和粗糙的,采用Gabor滤波器提取相位差来实现亚像素精度的逐像素匹配。最后给出了具体的推导过程,证明了基于Gabor滤波器计算相位差的方法是有效的。此外,在摄像机-投影仪标定阶段,利用覆盖给定深度范围的极段消除了编码条纹的周期性模糊性,降低了计算复杂度。实验结果表明,该方法可以获得密集、准确的运动物体深度图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dense depth acquisition via one-shot stripe structured light
Depth acquisition for moving objects becomes increasingly critical for some applications such as human facial expression recognition. This paper presents a method for capturing the depth maps of moving objects that uses a one-shot black-and-white stripe pattern with the features of simplicity and easily generation. Considering the accuracy of a matching is crucial for a precise depth map but the matching of variant-width stripes is sparse and rough, the phase differences extracted by Gabor filter to achieve a pixel-wise matching with sub-pixel accuracy are used. The details of the derivation are presented to prove that this method based on the phase difference calculated by Gabor filter is valid. In addition, the periodic ambiguity of the encoded stripe is eliminated by the epipolar segment covering a given depth range at a camera-projector calibrating stage to decrease the calculation complexity. Experimental results show that our method can get a dense and accurate depth map of a moving object.
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