A unified framework combining nonparametric 3D unwrapping, point-cloud fusion, ellipse-based pose normalization, and pose-aware registration to enable ridge-level compatibility between 3D and both contactless and contact-based 2D fingerprints.
Monocular 3d fingerprint reconstruction and unwarping,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
IMPOSE generates identity-consistent multi-pose contactless fingerprints via latent diffusion, Sauvola-guided translation, and 3D finger model projection, enabling SOTA cross-modal matching with EER reduced to 8.74% on UWA and 2.26% on PolyU CL2CB.
citing papers explorer
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Cross-Modal Registration Between 3D and 2D Fingerprints via Pose-Aware Unwrapping and Point-Cloud Fusion
A unified framework combining nonparametric 3D unwrapping, point-cloud fusion, ellipse-based pose normalization, and pose-aware registration to enable ridge-level compatibility between 3D and both contactless and contact-based 2D fingerprints.
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Identity-Consistent Multi-Pose Generation of Contactless Fingerprints
IMPOSE generates identity-consistent multi-pose contactless fingerprints via latent diffusion, Sauvola-guided translation, and 3D finger model projection, enabling SOTA cross-modal matching with EER reduced to 8.74% on UWA and 2.26% on PolyU CL2CB.