{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:H6G232KSVZNYZCWF3CEMFF3OF5","short_pith_number":"pith:H6G232KS","schema_version":"1.0","canonical_sha256":"3f8dade952ae5b8c8ac5d888c2976e2f6eb7bc25f86b82666631dc00b3ecb6b8","source":{"kind":"arxiv","id":"1506.06096","version":1},"attestation_state":"computed","paper":{"title":"Graph-based compression of dynamic 3D point cloud sequences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Dorina Thanou, Pascal Frossard, Philip A. Chou","submitted_at":"2015-06-19T17:31:34Z","abstract_excerpt":"This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames are similar, motion estimation is key to effective compression of these sequences. It however remains a challenging problem as the point cloud frames have varying numbers of points without explicit correspondence information. We represent the time-varying geometry of these sequences with a set of graphs, and consider 3D positions and color attributes of the points clouds as signals on the vertices of the grap"},"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":"1506.06096","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-19T17:31:34Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"78d0f09706e20b27ac86caed1831881880b1c771b3ef5b2ecceb1f5614fb9a72","abstract_canon_sha256":"5782d156fd226d42059691035202a8ee7a4220a9c9d93ffa0809c4e9a3084db8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:13.259345Z","signature_b64":"TAOpvHYVwWIPJLlJxB5mslBLOfwfIfUSxl0KYX/R2lSMld6MKyn1fAW4txU2ag/tTh8u0FoZHrRzXErCgKE+Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f8dade952ae5b8c8ac5d888c2976e2f6eb7bc25f86b82666631dc00b3ecb6b8","last_reissued_at":"2026-05-18T01:08:13.258913Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:13.258913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Graph-based compression of dynamic 3D point cloud sequences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Dorina Thanou, Pascal Frossard, Philip A. Chou","submitted_at":"2015-06-19T17:31:34Z","abstract_excerpt":"This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames are similar, motion estimation is key to effective compression of these sequences. It however remains a challenging problem as the point cloud frames have varying numbers of points without explicit correspondence information. We represent the time-varying geometry of these sequences with a set of graphs, and consider 3D positions and color attributes of the points clouds as signals on the vertices of the grap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.06096","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":""},"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":"1506.06096","created_at":"2026-05-18T01:08:13.258985+00:00"},{"alias_kind":"arxiv_version","alias_value":"1506.06096v1","created_at":"2026-05-18T01:08:13.258985+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.06096","created_at":"2026-05-18T01:08:13.258985+00:00"},{"alias_kind":"pith_short_12","alias_value":"H6G232KSVZNY","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_16","alias_value":"H6G232KSVZNYZCWF","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_8","alias_value":"H6G232KS","created_at":"2026-05-18T12:29:22.688609+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/H6G232KSVZNYZCWF3CEMFF3OF5","json":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5.json","graph_json":"https://pith.science/api/pith-number/H6G232KSVZNYZCWF3CEMFF3OF5/graph.json","events_json":"https://pith.science/api/pith-number/H6G232KSVZNYZCWF3CEMFF3OF5/events.json","paper":"https://pith.science/paper/H6G232KS"},"agent_actions":{"view_html":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5","download_json":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5.json","view_paper":"https://pith.science/paper/H6G232KS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1506.06096&json=true","fetch_graph":"https://pith.science/api/pith-number/H6G232KSVZNYZCWF3CEMFF3OF5/graph.json","fetch_events":"https://pith.science/api/pith-number/H6G232KSVZNYZCWF3CEMFF3OF5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5/action/storage_attestation","attest_author":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5/action/author_attestation","sign_citation":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5/action/citation_signature","submit_replication":"https://pith.science/pith/H6G232KSVZNYZCWF3CEMFF3OF5/action/replication_record"}},"created_at":"2026-05-18T01:08:13.258985+00:00","updated_at":"2026-05-18T01:08:13.258985+00:00"}