{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:SU7WSWAJVA56JZBRDFVHLDALTE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ddf3be5650a1187a2c90173f7c7aeb119aeb95879246233d20bd763b5ddc272d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-22T08:47:06Z","title_canon_sha256":"b3ab3b2d3da9feb82babf378f6846b903d506fe624ff8de51c4ddcf6d1474c10"},"schema_version":"1.0","source":{"id":"1606.06854","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.06854","created_at":"2026-05-18T01:12:00Z"},{"alias_kind":"arxiv_version","alias_value":"1606.06854v1","created_at":"2026-05-18T01:12:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.06854","created_at":"2026-05-18T01:12:00Z"},{"alias_kind":"pith_short_12","alias_value":"SU7WSWAJVA56","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SU7WSWAJVA56JZBR","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SU7WSWAJ","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:1a967b1083a77b9881490ce1315569bdb4c5d26fec4ed3c3c6f297f12271a1bf","target":"graph","created_at":"2026-05-18T01:12:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Previous learning based hand pose estimation methods does not fully exploit the prior information in hand model geometry. Instead, they usually rely a separate model fitting step to generate valid hand poses. Such a post processing is inconvenient and sub-optimal. In this work, we propose a model based deep learning approach that adopts a forward kinematics based layer to ensure the geometric validity of estimated poses. For the first time, we show that embedding such a non-linear generative process in deep learning is feasible for hand pose estimation. Our approach is verified on challenging ","authors_text":"Qingfu Wan, Wei Zhang, Xiangyang Xue, Xingyi Zhou, Yichen Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-22T08:47:06Z","title":"Model-based Deep Hand Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.06854","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:24c7b9bfbf4cb6558ee2dc68952530dbfeeea1b2212feacbfae6c6ceb122ee78","target":"record","created_at":"2026-05-18T01:12:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ddf3be5650a1187a2c90173f7c7aeb119aeb95879246233d20bd763b5ddc272d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-22T08:47:06Z","title_canon_sha256":"b3ab3b2d3da9feb82babf378f6846b903d506fe624ff8de51c4ddcf6d1474c10"},"schema_version":"1.0","source":{"id":"1606.06854","kind":"arxiv","version":1}},"canonical_sha256":"953f695809a83be4e431196a758c0b99172209cf2b9ff42fbb0c6d67aab178d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"953f695809a83be4e431196a758c0b99172209cf2b9ff42fbb0c6d67aab178d0","first_computed_at":"2026-05-18T01:12:00.981223Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:00.981223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T7wyqtJz1p0QEfGYvWx1LmzDwoqm6N46XvbW5/HG+3BKSpAtvDDJwk4n/5yoKDCRlXv28uYTumxRqKUdldS2Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:00.981575Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.06854","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24c7b9bfbf4cb6558ee2dc68952530dbfeeea1b2212feacbfae6c6ceb122ee78","sha256:1a967b1083a77b9881490ce1315569bdb4c5d26fec4ed3c3c6f297f12271a1bf"],"state_sha256":"240a3bf51ce5bb6bc6504ef69a421d5737d78d1bfdaa3d17510fe30fd76d5952"}