{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:QRPADNXIH5VPCSBOIOLAXYIP3M","short_pith_number":"pith:QRPADNXI","schema_version":"1.0","canonical_sha256":"845e01b6e83f6af1482e43960be10fdb1e79e85e022c0a7908014b1be794624c","source":{"kind":"arxiv","id":"1912.02908","version":3},"attestation_state":"computed","paper":{"title":"Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Marc Pollefeys, Thomas Sch\\\"ops, Torsten Sattler, Viktor Larsson","submitted_at":"2019-12-05T22:48:50Z","abstract_excerpt":"Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly used parametric camera models are limited to a few degrees of freedom and thus often do not optimally fit to complex real lens distortion. In contrast, generic camera models allow for very accurate calibration due to their flexibility. Despite this, they have seen little use in practice. In this paper, we argue that this should change. We propose a calibration pipeline for generic models that is fully automated, easy to use, and can act as a drop-in replacement for parametric calibration, with a fo"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1912.02908","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-05T22:48:50Z","cross_cats_sorted":[],"title_canon_sha256":"ad42d11623a6499096f19ee61e1c30c966ffbddbf74a4e0677f73496fd0ade43","abstract_canon_sha256":"1804d3ed44848722c4353c4c2f1f92d971a3ca3c7b9a3e8d77cd19ecffdf6bff"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:12:29.809970Z","signature_b64":"l4Ope99W+85cTHWHcqZq2wdiH6yBNZ7KIrUAlcw618Jua9Z5r2ITKDbLLFeYdRUV1eGakoRQtJgiVfgewOFhBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"845e01b6e83f6af1482e43960be10fdb1e79e85e022c0a7908014b1be794624c","last_reissued_at":"2026-07-05T01:12:29.809284Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:12:29.809284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Marc Pollefeys, Thomas Sch\\\"ops, Torsten Sattler, Viktor Larsson","submitted_at":"2019-12-05T22:48:50Z","abstract_excerpt":"Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly used parametric camera models are limited to a few degrees of freedom and thus often do not optimally fit to complex real lens distortion. In contrast, generic camera models allow for very accurate calibration due to their flexibility. Despite this, they have seen little use in practice. In this paper, we argue that this should change. We propose a calibration pipeline for generic models that is fully automated, easy to use, and can act as a drop-in replacement for parametric calibration, with a fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.02908","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1912.02908/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1912.02908","created_at":"2026-07-05T01:12:29.809395+00:00"},{"alias_kind":"arxiv_version","alias_value":"1912.02908v3","created_at":"2026-07-05T01:12:29.809395+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.02908","created_at":"2026-07-05T01:12:29.809395+00:00"},{"alias_kind":"pith_short_12","alias_value":"QRPADNXIH5VP","created_at":"2026-07-05T01:12:29.809395+00:00"},{"alias_kind":"pith_short_16","alias_value":"QRPADNXIH5VPCSBO","created_at":"2026-07-05T01:12:29.809395+00:00"},{"alias_kind":"pith_short_8","alias_value":"QRPADNXI","created_at":"2026-07-05T01:12:29.809395+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M","json":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M.json","graph_json":"https://pith.science/api/pith-number/QRPADNXIH5VPCSBOIOLAXYIP3M/graph.json","events_json":"https://pith.science/api/pith-number/QRPADNXIH5VPCSBOIOLAXYIP3M/events.json","paper":"https://pith.science/paper/QRPADNXI"},"agent_actions":{"view_html":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M","download_json":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M.json","view_paper":"https://pith.science/paper/QRPADNXI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1912.02908&json=true","fetch_graph":"https://pith.science/api/pith-number/QRPADNXIH5VPCSBOIOLAXYIP3M/graph.json","fetch_events":"https://pith.science/api/pith-number/QRPADNXIH5VPCSBOIOLAXYIP3M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M/action/storage_attestation","attest_author":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M/action/author_attestation","sign_citation":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M/action/citation_signature","submit_replication":"https://pith.science/pith/QRPADNXIH5VPCSBOIOLAXYIP3M/action/replication_record"}},"created_at":"2026-07-05T01:12:29.809395+00:00","updated_at":"2026-07-05T01:12:29.809395+00:00"}