{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:XN5RSS7GPBCHAXVGPGDT373TYO","short_pith_number":"pith:XN5RSS7G","schema_version":"1.0","canonical_sha256":"bb7b194be67844705ea679873dff73c3abef624b59727332e4be2a0df8670c03","source":{"kind":"arxiv","id":"1704.00515","version":1},"attestation_state":"computed","paper":{"title":"Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhilash Srikantha, Dimitrios Tzionas, Juergen Gall, Pablo Aponte","submitted_at":"2017-04-03T10:26:45Z","abstract_excerpt":"Hand motion capture has been an active research topic in recent years, following the success of full-body pose tracking. Despite similarities, hand tracking proves to be more challenging, characterized by a higher dimensionality, severe occlusions and self-similarity between fingers. For this reason, most approaches rely on strong assumptions, like hands in isolation or expensive multi-camera systems, that limit the practical use. In this work, we propose a framework for hand tracking that can capture the motion of two interacting hands using only a single, inexpensive RGB-D camera. Our approa"},"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":"1704.00515","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-03T10:26:45Z","cross_cats_sorted":[],"title_canon_sha256":"ecc1d2cba7be68bf2f437d2fb4dd32f408b78ce687dc36a6a284657c24fa8b22","abstract_canon_sha256":"3e2137f3f6885a1c21c10c75f71d7a73fdd1dc74f4128d05dc0a0898f317a627"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:22.123255Z","signature_b64":"irgBL3IPWeLpeMbiTsN4lQmHGvq/nUhvZH1buOyZXrHCuljmDJYN+0JqgTrlh1BiRww+yXOBWLLFPB3iuSPQDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb7b194be67844705ea679873dff73c3abef624b59727332e4be2a0df8670c03","last_reissued_at":"2026-05-18T00:47:22.122702Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:22.122702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhilash Srikantha, Dimitrios Tzionas, Juergen Gall, Pablo Aponte","submitted_at":"2017-04-03T10:26:45Z","abstract_excerpt":"Hand motion capture has been an active research topic in recent years, following the success of full-body pose tracking. Despite similarities, hand tracking proves to be more challenging, characterized by a higher dimensionality, severe occlusions and self-similarity between fingers. For this reason, most approaches rely on strong assumptions, like hands in isolation or expensive multi-camera systems, that limit the practical use. In this work, we propose a framework for hand tracking that can capture the motion of two interacting hands using only a single, inexpensive RGB-D camera. Our approa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.00515","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":"1704.00515","created_at":"2026-05-18T00:47:22.122808+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.00515v1","created_at":"2026-05-18T00:47:22.122808+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.00515","created_at":"2026-05-18T00:47:22.122808+00:00"},{"alias_kind":"pith_short_12","alias_value":"XN5RSS7GPBCH","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"XN5RSS7GPBCHAXVG","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"XN5RSS7G","created_at":"2026-05-18T12:31:56.362134+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/XN5RSS7GPBCHAXVGPGDT373TYO","json":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO.json","graph_json":"https://pith.science/api/pith-number/XN5RSS7GPBCHAXVGPGDT373TYO/graph.json","events_json":"https://pith.science/api/pith-number/XN5RSS7GPBCHAXVGPGDT373TYO/events.json","paper":"https://pith.science/paper/XN5RSS7G"},"agent_actions":{"view_html":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO","download_json":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO.json","view_paper":"https://pith.science/paper/XN5RSS7G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.00515&json=true","fetch_graph":"https://pith.science/api/pith-number/XN5RSS7GPBCHAXVGPGDT373TYO/graph.json","fetch_events":"https://pith.science/api/pith-number/XN5RSS7GPBCHAXVGPGDT373TYO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO/action/storage_attestation","attest_author":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO/action/author_attestation","sign_citation":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO/action/citation_signature","submit_replication":"https://pith.science/pith/XN5RSS7GPBCHAXVGPGDT373TYO/action/replication_record"}},"created_at":"2026-05-18T00:47:22.122808+00:00","updated_at":"2026-05-18T00:47:22.122808+00:00"}