Three-dimensional two-dimensional code surface information reconstruction method and device, equipment and storage medium
By using the exposure fusion contrast enhancement algorithm and the four-light source photometric stereo method to reconstruct the normal vector field, the problem of large errors in stereo QR codes in low-contrast environments is solved, and high-precision QR code reconstruction is achieved, which is suitable for the recognition of complex material surfaces.
Patent Information
- Application Number
- CN202510818056.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-18
- Publication Date
- 2025-10-17
AI Technical Summary
Existing 3D QR code technology faces problems such as insufficient contrast and high noise interference on the surface of low-reflectivity materials, making it difficult for traditional visual systems to decode. In particular, the surface texture contrast of 3D QR codes laser-marked on car tires is extremely low, making it difficult for traditional image processing methods to accurately extract and restore the QR code information.
The contrast of the initial image set of the stereo QR code is enhanced by an exposure fusion-based contrast enhancement algorithm. The normal vector field is reconstructed by combining the four-light source photometric stereo method and the Poisson solution, and then converted into a depth image. Finally, the QR code image is reconstructed through grayscale conversion and threshold segmentation.
It improves the image contrast and detail retention capabilities, can reconstruct three-dimensional two-dimensional codes with high precision in low-contrast environments, solves the problem of large error in information extraction in existing technologies, and adapts to the recognition of complex material surfaces.