High-precision 3D reconstruction of multiple objects based on an adaptive phase error correction method

Fringe projection profilometry is widely used in fields such as intelligent manufacturing and cultural heritage preservation. With the growing demand for large field of view 3D measurements, additional environmental factors are introduced as the measurement area expands, affecting the phase accuracy during the measurement process. To reduce the extra phase error introduced by the large field of view in real scenarios, this paper proposes an adaptive phase error correction method with minimal phase error, namely, the segmentation-correction-block (SCB) method. This method does not require additional projections or pre-calibration. It only necessitates obtaining a complete grayscale image of the object based on the fringe image. An improved Sobel operator method is proposed for edge detection and segmentation, thereby acquiring the structural mask version of the phase and dividing the complete phase map into stable and unstable regions. Based on the stable region phase, a phase correction method with minimal phase error is proposed to improve the phase accuracy. Then, the corrected stable region phase is indexed into the original phase, and an image block method is proposed to detect and eliminate outliers using the statistical information of each image block. Simulation results show that the proposed method reduces phase error by 89.6% compared to standard phase-shift algorithms. Results from four experiments of different complexities indicate that for large-scale object measurements, accuracy improved by approximately 0.3 rad compared to previous methods, and for small-scale object measurements, accuracy improved by approximately 0.03 rad compared to previous methods, achieving high-precision three-dimensional reconstruction of multiple objects.