{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:MTCCYTLKCJHBYPQNMSQH6YFMWW","short_pith_number":"pith:MTCCYTLK","schema_version":"1.0","canonical_sha256":"64c42c4d6a124e1c3e0d64a07f60acb5865327d7e0d4825efc0b6cce5985871d","source":{"kind":"arxiv","id":"1505.05643","version":1},"attestation_state":"computed","paper":{"title":"Object Modelling with a Handheld RGB-D Camera","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aitor Aldoma, Alexander Svejda, Johann Prankl, Markus Vincze","submitted_at":"2015-05-21T08:24:21Z","abstract_excerpt":"This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is achieved by acquiring several partial 3D models in different sessions that are automatically merged together to reconstruct a full model. In addition, the 3D models acquired by our system can be directly used by state-of-the-art object instance recognition and object tracking modules, providing object-perception capabilities for different applications, such as"},"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":"1505.05643","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-21T08:24:21Z","cross_cats_sorted":[],"title_canon_sha256":"7ee665d0c50dd51088efb2d91e0c699de03b7292c52d67944d490c71fa5f97f5","abstract_canon_sha256":"931154bae67d97e628d59d47e88431c06dc053faa5d096cd42216077cec63297"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:03:53.901813Z","signature_b64":"q3cmtk/UvRd82yQxAR2vt5iprIgvU/3jhVOfS6UnlbP/Q49gBtGmBLzn/cjEoUZPSPYsVNENnbF9VRaHXLOCBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64c42c4d6a124e1c3e0d64a07f60acb5865327d7e0d4825efc0b6cce5985871d","last_reissued_at":"2026-05-18T02:03:53.901127Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:03:53.901127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Object Modelling with a Handheld RGB-D Camera","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aitor Aldoma, Alexander Svejda, Johann Prankl, Markus Vincze","submitted_at":"2015-05-21T08:24:21Z","abstract_excerpt":"This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is achieved by acquiring several partial 3D models in different sessions that are automatically merged together to reconstruct a full model. In addition, the 3D models acquired by our system can be directly used by state-of-the-art object instance recognition and object tracking modules, providing object-perception capabilities for different applications, such as"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.05643","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":"1505.05643","created_at":"2026-05-18T02:03:53.901269+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.05643v1","created_at":"2026-05-18T02:03:53.901269+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.05643","created_at":"2026-05-18T02:03:53.901269+00:00"},{"alias_kind":"pith_short_12","alias_value":"MTCCYTLKCJHB","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_16","alias_value":"MTCCYTLKCJHBYPQN","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_8","alias_value":"MTCCYTLK","created_at":"2026-05-18T12:29:32.376354+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/MTCCYTLKCJHBYPQNMSQH6YFMWW","json":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW.json","graph_json":"https://pith.science/api/pith-number/MTCCYTLKCJHBYPQNMSQH6YFMWW/graph.json","events_json":"https://pith.science/api/pith-number/MTCCYTLKCJHBYPQNMSQH6YFMWW/events.json","paper":"https://pith.science/paper/MTCCYTLK"},"agent_actions":{"view_html":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW","download_json":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW.json","view_paper":"https://pith.science/paper/MTCCYTLK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.05643&json=true","fetch_graph":"https://pith.science/api/pith-number/MTCCYTLKCJHBYPQNMSQH6YFMWW/graph.json","fetch_events":"https://pith.science/api/pith-number/MTCCYTLKCJHBYPQNMSQH6YFMWW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW/action/storage_attestation","attest_author":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW/action/author_attestation","sign_citation":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW/action/citation_signature","submit_replication":"https://pith.science/pith/MTCCYTLKCJHBYPQNMSQH6YFMWW/action/replication_record"}},"created_at":"2026-05-18T02:03:53.901269+00:00","updated_at":"2026-05-18T02:03:53.901269+00:00"}