Cross-Modal Registration Between 3D and 2D Fingerprints via Pose-Aware Unwrapping and Point-Cloud Fusion
Researchers have developed a new framework to bridge the gap between 3D and 2D fingerprint systems. This system uses a pose-aware unwrapping method to convert 3D point clouds into a 2D representation without needing a global finger-shape model. It also incorporates a point-cloud fusion pipeline for combining multiple partial 3D captures and an ellipse-based pose normalization for alignment. Experiments show this approach achieves high accuracy in 3D registration and improves compatibility with existing 2D fingerprint systems. AI