{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:QAIXKOGT2ZG3KQCOWQ3PXMWU53","short_pith_number":"pith:QAIXKOGT","schema_version":"1.0","canonical_sha256":"80117538d3d64db5404eb436fbb2d4eed158d7e8e95e8c673e00f2689709e50b","source":{"kind":"arxiv","id":"1904.01759","version":2},"attestation_state":"computed","paper":{"title":"Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiamin Ye, Lipu Zhou, Michael Kaess, Shengze Wang","submitted_at":"2019-04-03T04:23:13Z","abstract_excerpt":"Estimating pose from given 3D correspondences, including point-to-point, point-to-line and point-to-plane correspondences, is a fundamental task in computer vision with many applications. We present a complete solution for this task, including a solution for the minimal problem and the least-squares problem of this task. Previous works mainly focused on finding the global minimizer to address the least-squares problem. However, existing works that show the ability to achieve global minimizer are still unsuitable for real-time applications. Furthermore, as one of contributions of this paper, we"},"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":"1904.01759","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-03T04:23:13Z","cross_cats_sorted":[],"title_canon_sha256":"beaa172095d1510e8f7b646f4bc78fbb123054a31592a1345000e5668cfc6bee","abstract_canon_sha256":"219746b60ad2a774ee6cccd28646f65bde29f68cf9381be4288fece9f436c4c5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:24.311497Z","signature_b64":"H+gAX4RQVn7vPJZxOtc8UcEWi9QZrdyqug19FgmL0evs7B/H33rMvGY8eC5wdkD1POaRtmBgfgjdJZPlylLIAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80117538d3d64db5404eb436fbb2d4eed158d7e8e95e8c673e00f2689709e50b","last_reissued_at":"2026-05-17T23:49:24.311069Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:24.311069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiamin Ye, Lipu Zhou, Michael Kaess, Shengze Wang","submitted_at":"2019-04-03T04:23:13Z","abstract_excerpt":"Estimating pose from given 3D correspondences, including point-to-point, point-to-line and point-to-plane correspondences, is a fundamental task in computer vision with many applications. We present a complete solution for this task, including a solution for the minimal problem and the least-squares problem of this task. Previous works mainly focused on finding the global minimizer to address the least-squares problem. However, existing works that show the ability to achieve global minimizer are still unsuitable for real-time applications. Furthermore, as one of contributions of this paper, we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.01759","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1904.01759","created_at":"2026-05-17T23:49:24.311135+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.01759v2","created_at":"2026-05-17T23:49:24.311135+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.01759","created_at":"2026-05-17T23:49:24.311135+00:00"},{"alias_kind":"pith_short_12","alias_value":"QAIXKOGT2ZG3","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_16","alias_value":"QAIXKOGT2ZG3KQCO","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_8","alias_value":"QAIXKOGT","created_at":"2026-05-18T12:33:27.125529+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/QAIXKOGT2ZG3KQCOWQ3PXMWU53","json":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53.json","graph_json":"https://pith.science/api/pith-number/QAIXKOGT2ZG3KQCOWQ3PXMWU53/graph.json","events_json":"https://pith.science/api/pith-number/QAIXKOGT2ZG3KQCOWQ3PXMWU53/events.json","paper":"https://pith.science/paper/QAIXKOGT"},"agent_actions":{"view_html":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53","download_json":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53.json","view_paper":"https://pith.science/paper/QAIXKOGT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.01759&json=true","fetch_graph":"https://pith.science/api/pith-number/QAIXKOGT2ZG3KQCOWQ3PXMWU53/graph.json","fetch_events":"https://pith.science/api/pith-number/QAIXKOGT2ZG3KQCOWQ3PXMWU53/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53/action/storage_attestation","attest_author":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53/action/author_attestation","sign_citation":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53/action/citation_signature","submit_replication":"https://pith.science/pith/QAIXKOGT2ZG3KQCOWQ3PXMWU53/action/replication_record"}},"created_at":"2026-05-17T23:49:24.311135+00:00","updated_at":"2026-05-17T23:49:24.311135+00:00"}