AI Article Synopsis

  • 3D shape measurement is crucial in various fields, and fringe projection profilometry (FPP) is a popular technique because it measures quickly and without touching the object.
  • In real-world situations, mixed reflections from surfaces can create areas that are overexposed or underexposed, making it difficult to measure accurately; this study introduces a mixed reflection model and a novel high dynamic range (HDR) 3D measurement method using polarization and multispectrum techniques to tackle this issue.
  • The new method is more effective in complex reflection scenarios, particularly with objects that have both shiny (specular) and dull (diffuse) surfaces, and it also features a unique calibration framework that reduces errors in measurements across different camera channels.

Article Abstract

Three-dimensional (3D) shape measurement serves an important role in many areas, and fringe projection profilometry (FPP) is a widely used 3D measurement technique due to its non-physical contact and high speed. The real measurement scenarios are often mixtures of specular and diffuse reflections, causing overexposed and underexposed areas to co-exist. Currently, utilizing FPP to simultaneously measure overexposed and underexposed areas remains a challenge. To solve this problem, we propose a mixed reflection model and what we believe to be a novel high dynamic range (HDR) 3D measurement method based on polarization and multispectrum co-modulation. In mixed reflection, the fringe images captured by the polarized color camera can be modulated to different intensities between different channels due to the co-modulation effect. By synthesizing all sub-images, high-modulation fringe images are formed and simultaneous reconstruction of overexposed and underexposed surfaces is finally achieved. Compared to conventional methods, the proposed method is more effective for measuring complex reflection situations, especially when objects with specular and diffuse surfaces simultaneously exist in the scene. And what we believe to be a novel no-registration-error calibration framework for multi-channel cameras has also been proposed, which both acquires a significant amount of information in the region with HDR problems and avoids the registration error due to the physical distances between different channels. Experiments were conducted to verify the effectiveness of the proposed method.

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http://dx.doi.org/10.1364/OE.506216DOI Listing

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