High reflective objects 3D shape measurement based on WGIF exposure fusion

Abstract Structured light projection methods are widely used in three-dimensional (3D) shape measurement. However, overexposure on highly reflective surfaces results in the inaccurate acquisition of phase information, thereby severely degrading the performance of structured light-based 3D measurements. Traditional structured light techniques are only applicable to surfaces with favorable characteristics. In this paper, we propose a multi-scale exposure fusion method based on Weighted Guided Image Filtering integrated with structured light technology. This method fuses image sequences captured under different exposure times into a well-exposed image by combining the properly exposed regions from each image, effectively reducing brightness disparities on high-reflectivity surfaces. To evaluate the performance of the proposed approach, experiments were conducted on specimens with high reflectivity, including a steel rod and an aluminum plane. The experimental results indicate that, compared with other methods, our approach effectively handles both saturated and dark regions, reconstructing the 3D shape of the objects completely and accurately. Moreover, the proposed method also demonstrates excellent performance in high dynamic range scene reconstruction.