An efficient 3D measurement method for high dynamic range objects based on polarization misaligned code fusion phase-shift encoding

Structured light 3D measurement technology is widely applied in various fields. However, in the measurement of high dynamic range (HDR) surface objects, traditional approaches often encounter measurement errors due to reflective interference in highlight regions, and require multiple projection patterns to complete 3D reconstruction, reducing efficiency. To address these issues, this paper presents a polarization misaligned code fusion phase-shift (PFPS) approach, aimed at improving the measurement accuracy and reconstruction efficiency for HDR surface objects. This approach uses the polarization state of light for encoding information to achieve more stable phase unwrapping and leverages polarization characteristics to cleverly fuse phase-shift fringe patterns with gray-code fringe patterns. The results of the experiment demonstrate that the PFPS approach performs better in environments with ambient light interference and can effectively reconstruct objects with complex geometries. Compared with traditional approaches, PFPS not only offers improved precision but also boosts efficiency by approximately 56 %, requiring only four projected patterns for complete 3D reconstruction. This approach provides a highly effective and dependable solution for measuring HDR objects.