Progressive Adaptive Fringe Projection Without Additional Projected/Captured Images for High-Dynamic-Range 3D Measurement

Highly reflective surfaces often cause intensity saturation in captured fringe images, leading to phase errors and inaccurate 3D reconstruction. High-dynamic-range (HDR) fringe projection profilometry is an effective solution to this problem, but existing methods usually require additional image acquisition or auxiliary calibration, which limits their applicability to high-speed online inspection. In this work, we propose a phase-optimization-guided progressive adaptive fringe projection method for HDR 3D measurement. First, quality-guided RGB phase fusion is used to fuse reliable phase information from RGB channels, reducing unreliable phase regions and identifying residual overexposed areas. Second, local phase repair restores pixels that cannot be directly mapped in overexposed regions, thereby establishing stable camera–projector correspondence. Third, an adaptive optimal projection intensity is estimated through local intensity fitting to adjust the brightness of highly reflective regions. These steps are embedded into the frequency-varying phase-unwrapping process of conventional digital fringe projection, progressively suppressing saturation-induced phase distortion without additional projected/captured images or calibration operations. Experiments on a highly reflective blade and a white plaster bust demonstrate that the method suppresses saturation without extra image acquisition. Comparative results show high measurement accuracy and low missing ratios with fewer images.