{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:UO6BRAPVUKJDI547HCSOJ6B64E","short_pith_number":"pith:UO6BRAPV","schema_version":"1.0","canonical_sha256":"a3bc1881f5a29234779f38a4e4f83ee12fd05fdee68bc8892c92f40636a1850c","source":{"kind":"arxiv","id":"1603.02345","version":3},"attestation_state":"computed","paper":{"title":"Hand Segmentation for Hand-Object Interaction from Depth map","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byeongkeun Kang, Daniel Tretter, Hung-Shuo Tai, Kar-Han Tan, Nan Jiang, Truong Q. Nguyen","submitted_at":"2016-03-08T00:22:59Z","abstract_excerpt":"Hand segmentation for hand-object interaction is a necessary preprocessing step in many applications such as augmented reality, medical application, and human-robot interaction. However, typical methods are based on color information which is not robust to objects with skin color, skin pigment difference, and light condition variations. Thus, we propose hand segmentation method for hand-object interaction using only a depth map. It is challenging because of the small depth difference between a hand and objects during an interaction. To overcome this challenge, we propose the two-stage random d"},"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":"1603.02345","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-08T00:22:59Z","cross_cats_sorted":[],"title_canon_sha256":"6a96a969ea5dde19ca7d6a4fc915c33824a4a62b0620577e499422f581f4f4ee","abstract_canon_sha256":"dd2c98c30e35eb50198c67885a30037f6003485e869a49d816cedb7eaa0949cd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:18.582237Z","signature_b64":"ZpGOB/4XaPfLc0EUpQShXcA5EgUtftAHgGvUd8ZzIXUVjC7Zdb505H10Bw6rsR/nEldoLR0v0xsbXuymghXZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3bc1881f5a29234779f38a4e4f83ee12fd05fdee68bc8892c92f40636a1850c","last_reissued_at":"2026-05-18T00:26:18.581777Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:18.581777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hand Segmentation for Hand-Object Interaction from Depth map","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byeongkeun Kang, Daniel Tretter, Hung-Shuo Tai, Kar-Han Tan, Nan Jiang, Truong Q. Nguyen","submitted_at":"2016-03-08T00:22:59Z","abstract_excerpt":"Hand segmentation for hand-object interaction is a necessary preprocessing step in many applications such as augmented reality, medical application, and human-robot interaction. However, typical methods are based on color information which is not robust to objects with skin color, skin pigment difference, and light condition variations. Thus, we propose hand segmentation method for hand-object interaction using only a depth map. It is challenging because of the small depth difference between a hand and objects during an interaction. To overcome this challenge, we propose the two-stage random d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.02345","kind":"arxiv","version":3},"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":"1603.02345","created_at":"2026-05-18T00:26:18.581852+00:00"},{"alias_kind":"arxiv_version","alias_value":"1603.02345v3","created_at":"2026-05-18T00:26:18.581852+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.02345","created_at":"2026-05-18T00:26:18.581852+00:00"},{"alias_kind":"pith_short_12","alias_value":"UO6BRAPVUKJD","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_16","alias_value":"UO6BRAPVUKJDI547","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_8","alias_value":"UO6BRAPV","created_at":"2026-05-18T12:30:46.583412+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/UO6BRAPVUKJDI547HCSOJ6B64E","json":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E.json","graph_json":"https://pith.science/api/pith-number/UO6BRAPVUKJDI547HCSOJ6B64E/graph.json","events_json":"https://pith.science/api/pith-number/UO6BRAPVUKJDI547HCSOJ6B64E/events.json","paper":"https://pith.science/paper/UO6BRAPV"},"agent_actions":{"view_html":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E","download_json":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E.json","view_paper":"https://pith.science/paper/UO6BRAPV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1603.02345&json=true","fetch_graph":"https://pith.science/api/pith-number/UO6BRAPVUKJDI547HCSOJ6B64E/graph.json","fetch_events":"https://pith.science/api/pith-number/UO6BRAPVUKJDI547HCSOJ6B64E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E/action/storage_attestation","attest_author":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E/action/author_attestation","sign_citation":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E/action/citation_signature","submit_replication":"https://pith.science/pith/UO6BRAPVUKJDI547HCSOJ6B64E/action/replication_record"}},"created_at":"2026-05-18T00:26:18.581852+00:00","updated_at":"2026-05-18T00:26:18.581852+00:00"}