{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:7GBN5FITPDDCKQYFHMYWKTFANK","short_pith_number":"pith:7GBN5FIT","schema_version":"1.0","canonical_sha256":"f982de951378c62543053b31654ca06aa8719151c9e22ef182aed1b0b8b6d202","source":{"kind":"arxiv","id":"1811.09962","version":3},"attestation_state":"computed","paper":{"title":"Practical optimal registration of terrestrial LiDAR scan pairs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alvaro Parra Bustos, Konrad Schindler, Tat-Jun Chin, Zhipeng Cai","submitted_at":"2018-11-25T06:36:28Z","abstract_excerpt":"Point cloud registration is a fundamental problem in 3D scanning. In this paper, we address the frequent special case of registering terrestrial LiDAR scans (or, more generally, levelled point clouds). Many current solutions still rely on the Iterative Closest Point (ICP) method or other heuristic procedures, which require good initializations to succeed and/or provide no guarantees of success. On the other hand, exact or optimal registration algorithms can compute the best possible solution without requiring initializations; however, they are currently too slow to be practical in realistic ap"},"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":"1811.09962","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-25T06:36:28Z","cross_cats_sorted":[],"title_canon_sha256":"1942d0d7258dd0a79cc41b9904eb4f5f7206ac7550d98c095bee9f469ed1ab10","abstract_canon_sha256":"08a626bef9d3ad64822ee451ad218129a93338cd621da07262322dad173392d7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:31.900901Z","signature_b64":"nXRN8lRZN4/xrvIyTtj+AaCzZNfK/nGwK3/WbVlBQXMOqO7ge9RK/2xrrEc7COW26sK0msX0gNB23JQuESuECQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f982de951378c62543053b31654ca06aa8719151c9e22ef182aed1b0b8b6d202","last_reissued_at":"2026-05-17T23:59:31.900264Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:31.900264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Practical optimal registration of terrestrial LiDAR scan pairs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alvaro Parra Bustos, Konrad Schindler, Tat-Jun Chin, Zhipeng Cai","submitted_at":"2018-11-25T06:36:28Z","abstract_excerpt":"Point cloud registration is a fundamental problem in 3D scanning. In this paper, we address the frequent special case of registering terrestrial LiDAR scans (or, more generally, levelled point clouds). Many current solutions still rely on the Iterative Closest Point (ICP) method or other heuristic procedures, which require good initializations to succeed and/or provide no guarantees of success. On the other hand, exact or optimal registration algorithms can compute the best possible solution without requiring initializations; however, they are currently too slow to be practical in realistic ap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.09962","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":""},"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":"1811.09962","created_at":"2026-05-17T23:59:31.900356+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.09962v3","created_at":"2026-05-17T23:59:31.900356+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.09962","created_at":"2026-05-17T23:59:31.900356+00:00"},{"alias_kind":"pith_short_12","alias_value":"7GBN5FITPDDC","created_at":"2026-05-18T12:32:11.075285+00:00"},{"alias_kind":"pith_short_16","alias_value":"7GBN5FITPDDCKQYF","created_at":"2026-05-18T12:32:11.075285+00:00"},{"alias_kind":"pith_short_8","alias_value":"7GBN5FIT","created_at":"2026-05-18T12:32:11.075285+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/7GBN5FITPDDCKQYFHMYWKTFANK","json":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK.json","graph_json":"https://pith.science/api/pith-number/7GBN5FITPDDCKQYFHMYWKTFANK/graph.json","events_json":"https://pith.science/api/pith-number/7GBN5FITPDDCKQYFHMYWKTFANK/events.json","paper":"https://pith.science/paper/7GBN5FIT"},"agent_actions":{"view_html":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK","download_json":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK.json","view_paper":"https://pith.science/paper/7GBN5FIT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.09962&json=true","fetch_graph":"https://pith.science/api/pith-number/7GBN5FITPDDCKQYFHMYWKTFANK/graph.json","fetch_events":"https://pith.science/api/pith-number/7GBN5FITPDDCKQYFHMYWKTFANK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK/action/storage_attestation","attest_author":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK/action/author_attestation","sign_citation":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK/action/citation_signature","submit_replication":"https://pith.science/pith/7GBN5FITPDDCKQYFHMYWKTFANK/action/replication_record"}},"created_at":"2026-05-17T23:59:31.900356+00:00","updated_at":"2026-05-17T23:59:31.900356+00:00"}