AI RESEARCH
CIPHER: Culvert Inspection through Pairwise Frame Selection and High-Efficiency Reconstruction
arXiv CS.CV
•
ArXi:2603.14150v1 Announce Type: new Automated culvert inspection systems can help increase the safety and efficiency of flood management operations. As a key step to this system, we present an efficient RGB-based 3D reconstruction pipeline for culvert-like structures in visually repetitive environments. Our approach first selects informative frame pairs to maximize viewpoint diversity while ensuring valid correspondence matching using a plug-and-play module, followed by a reconstruction model that simultaneously estimates RGB appearance, geometry, and semantics in real-time.