{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:XVCG3KLKJYKRYM2MSXRS2BWFEZ","short_pith_number":"pith:XVCG3KLK","schema_version":"1.0","canonical_sha256":"bd446da96a4e151c334c95e32d06c526631a620968eb21b52bbb42d81766d7f5","source":{"kind":"arxiv","id":"1511.04902","version":1},"attestation_state":"computed","paper":{"title":"Graph-based denoising for time-varying point clouds","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Johan Paratte, Pierre Vandergheynst, Yann Schoenenberger","submitted_at":"2015-11-16T10:34:25Z","abstract_excerpt":"Noisy 3D point clouds arise in many applications. They may be due to errors when constructing a 3D model from images or simply to imprecise depth sensors. Point clouds can be given geometrical structure using graphs created from the similarity information between points. This paper introduces a technique that uses this graph structure and convex optimization methods to denoise 3D point clouds. A short discussion presents how those methods naturally generalize to time-varying inputs such as 3D point cloud time series."},"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":"1511.04902","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2015-11-16T10:34:25Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"6e361e4ce1db5d7feed70d0279dec6f34d46d4e3fca086e8c0c02453cfc38ff0","abstract_canon_sha256":"e78607ee60bfb3b19eb96cfdef0282c8a35a8d9680320b59a7115316456fc3cf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:26:51.349522Z","signature_b64":"qrrcb+T8tXTmAtyaw4nfzhwcekh+BxQxxW2+017BfNwXc+g4pdn3O0OO9fJcQ2lGhji6C2eHdM06boB0ej3hCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd446da96a4e151c334c95e32d06c526631a620968eb21b52bbb42d81766d7f5","last_reissued_at":"2026-05-18T01:26:51.348830Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:26:51.348830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Graph-based denoising for time-varying point clouds","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Johan Paratte, Pierre Vandergheynst, Yann Schoenenberger","submitted_at":"2015-11-16T10:34:25Z","abstract_excerpt":"Noisy 3D point clouds arise in many applications. They may be due to errors when constructing a 3D model from images or simply to imprecise depth sensors. Point clouds can be given geometrical structure using graphs created from the similarity information between points. This paper introduces a technique that uses this graph structure and convex optimization methods to denoise 3D point clouds. A short discussion presents how those methods naturally generalize to time-varying inputs such as 3D point cloud time series."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.04902","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":"1511.04902","created_at":"2026-05-18T01:26:51.348944+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.04902v1","created_at":"2026-05-18T01:26:51.348944+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.04902","created_at":"2026-05-18T01:26:51.348944+00:00"},{"alias_kind":"pith_short_12","alias_value":"XVCG3KLKJYKR","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_16","alias_value":"XVCG3KLKJYKRYM2M","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_8","alias_value":"XVCG3KLK","created_at":"2026-05-18T12:29:50.041715+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/XVCG3KLKJYKRYM2MSXRS2BWFEZ","json":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ.json","graph_json":"https://pith.science/api/pith-number/XVCG3KLKJYKRYM2MSXRS2BWFEZ/graph.json","events_json":"https://pith.science/api/pith-number/XVCG3KLKJYKRYM2MSXRS2BWFEZ/events.json","paper":"https://pith.science/paper/XVCG3KLK"},"agent_actions":{"view_html":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ","download_json":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ.json","view_paper":"https://pith.science/paper/XVCG3KLK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.04902&json=true","fetch_graph":"https://pith.science/api/pith-number/XVCG3KLKJYKRYM2MSXRS2BWFEZ/graph.json","fetch_events":"https://pith.science/api/pith-number/XVCG3KLKJYKRYM2MSXRS2BWFEZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ/action/storage_attestation","attest_author":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ/action/author_attestation","sign_citation":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ/action/citation_signature","submit_replication":"https://pith.science/pith/XVCG3KLKJYKRYM2MSXRS2BWFEZ/action/replication_record"}},"created_at":"2026-05-18T01:26:51.348944+00:00","updated_at":"2026-05-18T01:26:51.348944+00:00"}