{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HI5YZWZDO2A4WVDGA6YURY7PZQ","short_pith_number":"pith:HI5YZWZD","canonical_record":{"source":{"id":"1712.05277","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T20:57:15Z","cross_cats_sorted":[],"title_canon_sha256":"171feff13d2a264ef6f8db9bab6a672fd5887a4e613f0be797493a67c19e8d03","abstract_canon_sha256":"6380b7d7c1fe693f73ad8a75367bab3ec96d1ab1c50da447fcce32aada096be9"},"schema_version":"1.0"},"canonical_sha256":"3a3b8cdb237681cb546607b148e3efcc3dc50440495db05869be78d5074544bd","source":{"kind":"arxiv","id":"1712.05277","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.05277","created_at":"2026-05-18T00:06:44Z"},{"alias_kind":"arxiv_version","alias_value":"1712.05277v2","created_at":"2026-05-18T00:06:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.05277","created_at":"2026-05-18T00:06:44Z"},{"alias_kind":"pith_short_12","alias_value":"HI5YZWZDO2A4","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HI5YZWZDO2A4WVDG","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HI5YZWZD","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HI5YZWZDO2A4WVDGA6YURY7PZQ","target":"record","payload":{"canonical_record":{"source":{"id":"1712.05277","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T20:57:15Z","cross_cats_sorted":[],"title_canon_sha256":"171feff13d2a264ef6f8db9bab6a672fd5887a4e613f0be797493a67c19e8d03","abstract_canon_sha256":"6380b7d7c1fe693f73ad8a75367bab3ec96d1ab1c50da447fcce32aada096be9"},"schema_version":"1.0"},"canonical_sha256":"3a3b8cdb237681cb546607b148e3efcc3dc50440495db05869be78d5074544bd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:44.751855Z","signature_b64":"VfT36dRQKqB0+FbWa819p8+X8dWao+/65GzrYyunkJZ7wzQNuVvkbF58x6z1U/DD56cWYFQHOjC6VDk/pOQlDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a3b8cdb237681cb546607b148e3efcc3dc50440495db05869be78d5074544bd","last_reissued_at":"2026-05-18T00:06:44.751461Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:44.751461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.05277","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:06:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ct949MD98GdB5pl/hgoNcSDgYKM7Auw+TKN57mgN3znRW4ZrCbu0bZukHalYdshr87xr0+WlZjVc7HtP3ezJBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T05:47:25.332173Z"},"content_sha256":"ddb18ff318997fc2cfb73a791b2cd556022cd6eb66f203b008b3d260eb41b62d","schema_version":"1.0","event_id":"sha256:ddb18ff318997fc2cfb73a791b2cd556022cd6eb66f203b008b3d260eb41b62d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HI5YZWZDO2A4WVDGA6YURY7PZQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Face-from-Depth for Head Pose Estimation on Depth Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guido Borghi, Matteo Fabbri, Rita Cucchiara, Roberto Vezzani, Simone Calderara","submitted_at":"2017-12-12T20:57:15Z","abstract_excerpt":"Depth cameras allow to set up reliable solutions for people monitoring and behavior understanding, especially when unstable or poor illumination conditions make unusable common RGB sensors. Therefore, we propose a complete framework for the estimation of the head and shoulder pose based on depth images only. A head detection and localization module is also included, in order to develop a complete end-to-end system. The core element of the framework is a Convolutional Neural Network, called POSEidon+, that receives as input three types of images and provides the 3D angles of the pose as output."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.05277","kind":"arxiv","version":2},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:06:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GRTMR+c49IvvH0U/3QhBYyh9ib8WbprLtvKM0BhLH85dQCdBofOf0+PTjsmqC8Hbpp8o5waz/1NVUFj8nIqIDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T05:47:25.332889Z"},"content_sha256":"e51dd10fe646e785370b360a01d8feda2ca5a69799e12e302ebb037dec422dea","schema_version":"1.0","event_id":"sha256:e51dd10fe646e785370b360a01d8feda2ca5a69799e12e302ebb037dec422dea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HI5YZWZDO2A4WVDGA6YURY7PZQ/bundle.json","state_url":"https://pith.science/pith/HI5YZWZDO2A4WVDGA6YURY7PZQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HI5YZWZDO2A4WVDGA6YURY7PZQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-07T05:47:25Z","links":{"resolver":"https://pith.science/pith/HI5YZWZDO2A4WVDGA6YURY7PZQ","bundle":"https://pith.science/pith/HI5YZWZDO2A4WVDGA6YURY7PZQ/bundle.json","state":"https://pith.science/pith/HI5YZWZDO2A4WVDGA6YURY7PZQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HI5YZWZDO2A4WVDGA6YURY7PZQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HI5YZWZDO2A4WVDGA6YURY7PZQ","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":"6380b7d7c1fe693f73ad8a75367bab3ec96d1ab1c50da447fcce32aada096be9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T20:57:15Z","title_canon_sha256":"171feff13d2a264ef6f8db9bab6a672fd5887a4e613f0be797493a67c19e8d03"},"schema_version":"1.0","source":{"id":"1712.05277","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.05277","created_at":"2026-05-18T00:06:44Z"},{"alias_kind":"arxiv_version","alias_value":"1712.05277v2","created_at":"2026-05-18T00:06:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.05277","created_at":"2026-05-18T00:06:44Z"},{"alias_kind":"pith_short_12","alias_value":"HI5YZWZDO2A4","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HI5YZWZDO2A4WVDG","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HI5YZWZD","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:e51dd10fe646e785370b360a01d8feda2ca5a69799e12e302ebb037dec422dea","target":"graph","created_at":"2026-05-18T00:06:44Z","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":"Depth cameras allow to set up reliable solutions for people monitoring and behavior understanding, especially when unstable or poor illumination conditions make unusable common RGB sensors. Therefore, we propose a complete framework for the estimation of the head and shoulder pose based on depth images only. A head detection and localization module is also included, in order to develop a complete end-to-end system. The core element of the framework is a Convolutional Neural Network, called POSEidon+, that receives as input three types of images and provides the 3D angles of the pose as output.","authors_text":"Guido Borghi, Matteo Fabbri, Rita Cucchiara, Roberto Vezzani, Simone Calderara","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T20:57:15Z","title":"Face-from-Depth for Head Pose Estimation on Depth Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.05277","kind":"arxiv","version":2},"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:ddb18ff318997fc2cfb73a791b2cd556022cd6eb66f203b008b3d260eb41b62d","target":"record","created_at":"2026-05-18T00:06:44Z","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":"6380b7d7c1fe693f73ad8a75367bab3ec96d1ab1c50da447fcce32aada096be9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-12T20:57:15Z","title_canon_sha256":"171feff13d2a264ef6f8db9bab6a672fd5887a4e613f0be797493a67c19e8d03"},"schema_version":"1.0","source":{"id":"1712.05277","kind":"arxiv","version":2}},"canonical_sha256":"3a3b8cdb237681cb546607b148e3efcc3dc50440495db05869be78d5074544bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a3b8cdb237681cb546607b148e3efcc3dc50440495db05869be78d5074544bd","first_computed_at":"2026-05-18T00:06:44.751461Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:44.751461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VfT36dRQKqB0+FbWa819p8+X8dWao+/65GzrYyunkJZ7wzQNuVvkbF58x6z1U/DD56cWYFQHOjC6VDk/pOQlDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:44.751855Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.05277","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddb18ff318997fc2cfb73a791b2cd556022cd6eb66f203b008b3d260eb41b62d","sha256:e51dd10fe646e785370b360a01d8feda2ca5a69799e12e302ebb037dec422dea"],"state_sha256":"1e1128fdf797555b61c39f56104dd91202b80d8efbe3acf14e72c432d9cbee43"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cf3KYt8AHm1SUwCeBRIcq+iznGGhwYb339N23sT6nhh9rjVqK4fnkMnEWX3uhaYnjZkQSGh3k6c2XQiEAA6tDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T05:47:25.336553Z","bundle_sha256":"d5407bfab8c4884b0d5cfaec4745e0655c93bf268c0476e229aa38430f8ade7e"}}