{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:GC227HZBWI5Z345Q6IWM4VRNUH","short_pith_number":"pith:GC227HZB","schema_version":"1.0","canonical_sha256":"30b5af9f21b23b9df3b0f22cce562da1e88f336f79df8421731f0915fb32514c","source":{"kind":"arxiv","id":"1905.10784","version":3},"attestation_state":"computed","paper":{"title":"Impact of facial landmark localization on facial expression recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Benjamin Allaert, Chaabane Djeraba, Ioan Marius Bilasco, Nicu Sebe, Pierre Tirilly, Romain Belmonte","submitted_at":"2019-05-26T10:50:46Z","abstract_excerpt":"Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks? In this paper, the focus is put on facial expression recognition (FER), where facial landmarks are used for face registration, which is a common usage. Since the most used datasets for facial landmark localization do not allow for a proper measurement of performance according to the different difficulties (e.g., pose, expression, illumination, occlusion, motion blur), we "},"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":"1905.10784","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-26T10:50:46Z","cross_cats_sorted":[],"title_canon_sha256":"e55e7b34cfa612dd5a6318dabd735d1f275fefe2a5e9814d596ef7a1fddbe4e8","abstract_canon_sha256":"de0ebdb63a0c67b02785813e67842a117632ecaf273d2e3ad34031fe9a6bae68"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:30:49.359104Z","signature_b64":"msW3aXgRBlMXDK/v4rcZ8dI+cbHB8xUCT7mT7jSmDYNrR3AsspT3QrcjPxD9JJK77l3xSwyPMwRF9LlWFVg+Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30b5af9f21b23b9df3b0f22cce562da1e88f336f79df8421731f0915fb32514c","last_reissued_at":"2026-07-05T03:30:49.358637Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:30:49.358637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Impact of facial landmark localization on facial expression recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Benjamin Allaert, Chaabane Djeraba, Ioan Marius Bilasco, Nicu Sebe, Pierre Tirilly, Romain Belmonte","submitted_at":"2019-05-26T10:50:46Z","abstract_excerpt":"Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks? In this paper, the focus is put on facial expression recognition (FER), where facial landmarks are used for face registration, which is a common usage. Since the most used datasets for facial landmark localization do not allow for a proper measurement of performance according to the different difficulties (e.g., pose, expression, illumination, occlusion, motion blur), we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.10784","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1905.10784/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"1905.10784","created_at":"2026-07-05T03:30:49.358699+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.10784v3","created_at":"2026-07-05T03:30:49.358699+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.10784","created_at":"2026-07-05T03:30:49.358699+00:00"},{"alias_kind":"pith_short_12","alias_value":"GC227HZBWI5Z","created_at":"2026-07-05T03:30:49.358699+00:00"},{"alias_kind":"pith_short_16","alias_value":"GC227HZBWI5Z345Q","created_at":"2026-07-05T03:30:49.358699+00:00"},{"alias_kind":"pith_short_8","alias_value":"GC227HZB","created_at":"2026-07-05T03:30:49.358699+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/GC227HZBWI5Z345Q6IWM4VRNUH","json":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH.json","graph_json":"https://pith.science/api/pith-number/GC227HZBWI5Z345Q6IWM4VRNUH/graph.json","events_json":"https://pith.science/api/pith-number/GC227HZBWI5Z345Q6IWM4VRNUH/events.json","paper":"https://pith.science/paper/GC227HZB"},"agent_actions":{"view_html":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH","download_json":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH.json","view_paper":"https://pith.science/paper/GC227HZB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.10784&json=true","fetch_graph":"https://pith.science/api/pith-number/GC227HZBWI5Z345Q6IWM4VRNUH/graph.json","fetch_events":"https://pith.science/api/pith-number/GC227HZBWI5Z345Q6IWM4VRNUH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH/action/storage_attestation","attest_author":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH/action/author_attestation","sign_citation":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH/action/citation_signature","submit_replication":"https://pith.science/pith/GC227HZBWI5Z345Q6IWM4VRNUH/action/replication_record"}},"created_at":"2026-07-05T03:30:49.358699+00:00","updated_at":"2026-07-05T03:30:49.358699+00:00"}