{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:W7K24WU26EEP3ZOVQFFWVWXYDH","short_pith_number":"pith:W7K24WU2","schema_version":"1.0","canonical_sha256":"b7d5ae5a9af108fde5d5814b6adaf819cba7b08bce02413295cd495619ba36e0","source":{"kind":"arxiv","id":"2007.10986","version":1},"attestation_state":"computed","paper":{"title":"Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gim Hee Lee, Gregory Chirikjian, He Chen, Pengfei Guo, Pengfei Li","submitted_at":"2020-07-21T17:59:36Z","abstract_excerpt":"Epipolar constraints are at the core of feature matching and depth estimation in current multi-person multi-camera 3D human pose estimation methods. Despite the satisfactory performance of this formulation in sparser crowd scenes, its effectiveness is frequently challenged under denser crowd circumstances mainly due to two sources of ambiguity. The first is the mismatch of human joints resulting from the simple cues provided by the Euclidean distances between joints and epipolar lines. The second is the lack of robustness from the naive formulation of the problem as a least squares minimizatio"},"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":"2007.10986","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-21T17:59:36Z","cross_cats_sorted":[],"title_canon_sha256":"7854b7f98cb67d130319724f53d31b817d820914d58e1150ee2bc44bf6192a73","abstract_canon_sha256":"1b012dc1925bddfc033dbe1e6f746ac2a4554fc5d09658982e7e26dccab201c1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:21:13.985895Z","signature_b64":"LHerOg8xJaeeEHAi/gkJJbzRp0eMVM4Cd/E3CA7DSmVECBBlVn2d7+JaeCN6WKJU0/WPveiFK7Q//fmd+8avCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7d5ae5a9af108fde5d5814b6adaf819cba7b08bce02413295cd495619ba36e0","last_reissued_at":"2026-07-05T01:21:13.985497Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:21:13.985497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gim Hee Lee, Gregory Chirikjian, He Chen, Pengfei Guo, Pengfei Li","submitted_at":"2020-07-21T17:59:36Z","abstract_excerpt":"Epipolar constraints are at the core of feature matching and depth estimation in current multi-person multi-camera 3D human pose estimation methods. Despite the satisfactory performance of this formulation in sparser crowd scenes, its effectiveness is frequently challenged under denser crowd circumstances mainly due to two sources of ambiguity. The first is the mismatch of human joints resulting from the simple cues provided by the Euclidean distances between joints and epipolar lines. The second is the lack of robustness from the naive formulation of the problem as a least squares minimizatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10986","kind":"arxiv","version":1},"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/2007.10986/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":"2007.10986","created_at":"2026-07-05T01:21:13.985559+00:00"},{"alias_kind":"arxiv_version","alias_value":"2007.10986v1","created_at":"2026-07-05T01:21:13.985559+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10986","created_at":"2026-07-05T01:21:13.985559+00:00"},{"alias_kind":"pith_short_12","alias_value":"W7K24WU26EEP","created_at":"2026-07-05T01:21:13.985559+00:00"},{"alias_kind":"pith_short_16","alias_value":"W7K24WU26EEP3ZOV","created_at":"2026-07-05T01:21:13.985559+00:00"},{"alias_kind":"pith_short_8","alias_value":"W7K24WU2","created_at":"2026-07-05T01:21:13.985559+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/W7K24WU26EEP3ZOVQFFWVWXYDH","json":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH.json","graph_json":"https://pith.science/api/pith-number/W7K24WU26EEP3ZOVQFFWVWXYDH/graph.json","events_json":"https://pith.science/api/pith-number/W7K24WU26EEP3ZOVQFFWVWXYDH/events.json","paper":"https://pith.science/paper/W7K24WU2"},"agent_actions":{"view_html":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH","download_json":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH.json","view_paper":"https://pith.science/paper/W7K24WU2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2007.10986&json=true","fetch_graph":"https://pith.science/api/pith-number/W7K24WU26EEP3ZOVQFFWVWXYDH/graph.json","fetch_events":"https://pith.science/api/pith-number/W7K24WU26EEP3ZOVQFFWVWXYDH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH/action/storage_attestation","attest_author":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH/action/author_attestation","sign_citation":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH/action/citation_signature","submit_replication":"https://pith.science/pith/W7K24WU26EEP3ZOVQFFWVWXYDH/action/replication_record"}},"created_at":"2026-07-05T01:21:13.985559+00:00","updated_at":"2026-07-05T01:21:13.985559+00:00"}