AI Article Synopsis

  • Balancing speed and accuracy is difficult in 3D reconstruction, as one-shot structured light can scan quickly but often produces low-quality 3D point clouds in areas with significant height changes.
  • The authors propose a new reconstruction method using shearlet transform, which improves accuracy by combining spatial and frequency information.
  • Their approach involves obtaining coefficients from a deformed fringe pattern, selecting the largest values for filtering, and generating quality maps to guide a more reliable phase unwrapping process, leading to improved accuracy in challenging regions.

Article Abstract

Balancing speed and accuracy has always been a challenge in 3D reconstruction. One-shot structured light illuminations are of perfect performance on real-time scanning, while the related 3D point clouds are typically of relatively poor quality, especially in regions with rapid height changes. To solve this problem, we propose a one-shot reconstruction scheme based on shearlet transform, which combines spatial and frequency domain information to enhance reconstruction accuracy. First, we apply the shearlet transform to the deformed fringe pattern to obtain the transform coefficients. Second, pixel-wise select the indices associated with the N largest coefficients in magnitude to obtain a new filter. Finally, we refocus globally to extract phase using these filters and generate a reliable quality map based on coefficient magnitudes to guide phase unwrapping. Simultaneously, we utilize the maximum coefficient value to generate a quality map for guiding the phase unwrapping process. Experimental results show that the proposed method is robust in discontinuous regions, resulting in more accurate 3D point clouds.

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Source
http://dx.doi.org/10.1364/OE.529603DOI Listing

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Article Synopsis
  • Balancing speed and accuracy is difficult in 3D reconstruction, as one-shot structured light can scan quickly but often produces low-quality 3D point clouds in areas with significant height changes.
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