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One-shot absolute pattern for dense reconstruction using DeBruijn coding and Windowed Fourier Transform

机译:使用DeBruijn编码和Windowed Fourier变换进行密集重建的单次绝对模式

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摘要

Shape reconstruction using coded structured light (SL) is considered one of the most reliable techniques to recover object surfaces. Among SL techniques, the achievement of dense acquisition for moving scenarios constitutes an active field of research. A common solution is to project a single one-shot fringe pattern, extracting depth from the phase deviation of the imaged pattern. However, the algorithms employed to unwrap the phase are computationally slow and can fail in the presence of depth discontinuities and occlusions. In this work, a proposal for a new one-shot dense pattern that combines DeBruijn and Windowed Fourier Transform to obtain a dense, absolute, accurate and computationally fast 3D reconstruction is presented and compared with other existing techniques.
机译:使用编码结构光(SL)进行形状重构被认为是恢复物体表面的最可靠技术之一。在SL技术中,针对移动场景的密集采集的实现构成了活跃的研究领域。常见的解决方案是投射单个的单发条纹图案,从成像图案的相位偏差中提取深度。但是,用于展开相位的算法在计算上很慢,并且在深度不连续和遮挡的情况下可能会失败。在这项工作中,提出了一种将DeBruijn和Windowed Fourier变换相结合以获得密集,绝对,准确和计算快速的3D重构的新的单次密集模式的建议,并将其与其他现有技术进行了比较。

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