{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:5THD32ASJDD7FSWP6GSAFJRDIS","short_pith_number":"pith:5THD32AS","schema_version":"1.0","canonical_sha256":"ecce3de81248c7f2cacff1a402a62344aa7937ad22102c7afc24168b79be2975","source":{"kind":"arxiv","id":"1705.05016","version":1},"attestation_state":"computed","paper":{"title":"A Correspondence Relaxation Approach for 3D Shape Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Yong Khoo","submitted_at":"2017-05-14T19:02:03Z","abstract_excerpt":"This paper presents a new method for 3D shape reconstruction based on two existing methods. A 3D reconstruction from a single photograph is introduced by both papers: the first one uses a photograph and a set of existing 3D model to generate the 3D object in the photograph, while the second one uses a photograph and a selected similar model to create the 3D object in the photograph. According to their difference, we propose a relaxation based method for more accurate correspondence establishment and shape recovery. The experiment demonstrates promising results compared to the state-of-the-art "},"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":"1705.05016","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-14T19:02:03Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"473bf0b5328a743b227e51e0f80187a43fd273fc0133675500e633414ab1dc3e","abstract_canon_sha256":"9037a5cc346b296cbd27928c8a494fe746d4a01830ebe71ead0c6314a1219d58"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:33.036581Z","signature_b64":"4eftL6nto50mPa8SfKI78HjRcd8GRWmaTLipsH9WDtxHimPCE7/Zpp5VYCnqM4IBrEmRRsbX0ouh1/MzfprICQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ecce3de81248c7f2cacff1a402a62344aa7937ad22102c7afc24168b79be2975","last_reissued_at":"2026-05-18T00:44:33.036142Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:33.036142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Correspondence Relaxation Approach for 3D Shape Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Yong Khoo","submitted_at":"2017-05-14T19:02:03Z","abstract_excerpt":"This paper presents a new method for 3D shape reconstruction based on two existing methods. A 3D reconstruction from a single photograph is introduced by both papers: the first one uses a photograph and a set of existing 3D model to generate the 3D object in the photograph, while the second one uses a photograph and a selected similar model to create the 3D object in the photograph. According to their difference, we propose a relaxation based method for more accurate correspondence establishment and shape recovery. The experiment demonstrates promising results compared to the state-of-the-art "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.05016","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":"1705.05016","created_at":"2026-05-18T00:44:33.036219+00:00"},{"alias_kind":"arxiv_version","alias_value":"1705.05016v1","created_at":"2026-05-18T00:44:33.036219+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.05016","created_at":"2026-05-18T00:44:33.036219+00:00"},{"alias_kind":"pith_short_12","alias_value":"5THD32ASJDD7","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_16","alias_value":"5THD32ASJDD7FSWP","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_8","alias_value":"5THD32AS","created_at":"2026-05-18T12:31:00.734936+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/5THD32ASJDD7FSWP6GSAFJRDIS","json":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS.json","graph_json":"https://pith.science/api/pith-number/5THD32ASJDD7FSWP6GSAFJRDIS/graph.json","events_json":"https://pith.science/api/pith-number/5THD32ASJDD7FSWP6GSAFJRDIS/events.json","paper":"https://pith.science/paper/5THD32AS"},"agent_actions":{"view_html":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS","download_json":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS.json","view_paper":"https://pith.science/paper/5THD32AS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1705.05016&json=true","fetch_graph":"https://pith.science/api/pith-number/5THD32ASJDD7FSWP6GSAFJRDIS/graph.json","fetch_events":"https://pith.science/api/pith-number/5THD32ASJDD7FSWP6GSAFJRDIS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS/action/storage_attestation","attest_author":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS/action/author_attestation","sign_citation":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS/action/citation_signature","submit_replication":"https://pith.science/pith/5THD32ASJDD7FSWP6GSAFJRDIS/action/replication_record"}},"created_at":"2026-05-18T00:44:33.036219+00:00","updated_at":"2026-05-18T00:44:33.036219+00:00"}