arXiv (All)
open access
SCCM: Spherically Consistent Coarse Matching for ERP Dense Feature Correspondence
Equirectangular projection (ERP) is the standard representation for 360$^\circ$ imagery, and robust dense feature matching on ERP underpins panoramic stereo, view synthesis, and omnidirectional SLAM. Dense matchers trained on flat images degrade systematically on ERP because the chart introduces thr
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Geometric Embedding Alignment via Curvature Matching in Transfer Learning#189288
- SAMatcher: Dense Co-Visibility Modeling via Cross-View Fusion for Scale-Imbalance Image Matching#1052194
- VGGT-Align: Bridging Local Reconstruction and Global Consistency for Long-Sequence 3D Reconstruction#615238
- VGGT-Align: Bridging Local Reconstruction and Global Consistency for Long-Sequence 3D Reconstruction#614271
- Computer Vision – ECCV 2026 : 19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXX / edited by Paolo Favaro, Zuzana Kukelova, Atsuto Maki, Anna Rohrbach, Konrad Schindler, Federico Tombari#675675
Record · ID 1131746
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive