Phase error correction algorithm for discontinuous reflectivity regions

Current research indicates that camera defocus can adversely affect phase accuracy in regions with abrupt reflectivity changes, particularly for objects with complex textures. To address this challenge, this paper constructs an error model, revealing a trigonometric relationship between phase errors and the tangent angle of the texture. By investigating the variation patterns of this error model, a one-dimensional phase-weighted average and parameter fitting model is proposed to correct phase errors. The proposed method requires only the projection of unidirectional fringe patterns for phase error correction, offering faster processing and higher stability compared to methods relying on bidirectional fringe patterns. The experimental results demonstrate that the algorithm proposed in this paper can effectively reduce systematic errors and improve the accuracy of the final point clouds reconstruction.