{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:3KBTAFTFVU73KRK3H35E4THWXQ","short_pith_number":"pith:3KBTAFTF","schema_version":"1.0","canonical_sha256":"da83301665ad3fb5455b3efa4e4cf6bc33489e94257eb423d5ad24872b71848c","source":{"kind":"arxiv","id":"1311.6007","version":1},"attestation_state":"computed","paper":{"title":"Dynamic Model of Facial Expression Recognition based on Eigen-face Approach","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aurobinda Routray, Nikunj Bajaj, S L Happy","submitted_at":"2013-11-23T15:40:37Z","abstract_excerpt":"Emotions are best way of communicating information; and sometimes it carry more information than words. Recently, there has been a huge interest in automatic recognition of human emotion because of its wide spread application in security, surveillance, marketing, advertisement, and human-computer interaction. To communicate with a computer in a natural way, it will be desirable to use more natural modes of human communication based on voice, gestures and facial expressions. In this paper, a holistic approach for facial expression recognition is proposed which captures the variation in facial f"},"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":"1311.6007","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CV","submitted_at":"2013-11-23T15:40:37Z","cross_cats_sorted":[],"title_canon_sha256":"f4519864641a8856df60e35a3cfb3328b1e5665b8bd7cb9aa2c0f5c640dd45dd","abstract_canon_sha256":"bb36669498d7e5fa7253301132ac74b1bdcee6fba5838702a4f3d389b6ad265c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:35.255519Z","signature_b64":"Zk9Z1v8k6yJxuzhTdrA63wNiZ06U1fydMZx0TLbRT0ecooT0nxeZkWCrJsPLSzssN/qOnTWu7GdsCQUClFy1CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da83301665ad3fb5455b3efa4e4cf6bc33489e94257eb423d5ad24872b71848c","last_reissued_at":"2026-05-18T03:05:35.255083Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:35.255083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dynamic Model of Facial Expression Recognition based on Eigen-face Approach","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aurobinda Routray, Nikunj Bajaj, S L Happy","submitted_at":"2013-11-23T15:40:37Z","abstract_excerpt":"Emotions are best way of communicating information; and sometimes it carry more information than words. Recently, there has been a huge interest in automatic recognition of human emotion because of its wide spread application in security, surveillance, marketing, advertisement, and human-computer interaction. To communicate with a computer in a natural way, it will be desirable to use more natural modes of human communication based on voice, gestures and facial expressions. In this paper, a holistic approach for facial expression recognition is proposed which captures the variation in facial f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.6007","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":"1311.6007","created_at":"2026-05-18T03:05:35.255151+00:00"},{"alias_kind":"arxiv_version","alias_value":"1311.6007v1","created_at":"2026-05-18T03:05:35.255151+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.6007","created_at":"2026-05-18T03:05:35.255151+00:00"},{"alias_kind":"pith_short_12","alias_value":"3KBTAFTFVU73","created_at":"2026-05-18T12:27:32.513160+00:00"},{"alias_kind":"pith_short_16","alias_value":"3KBTAFTFVU73KRK3","created_at":"2026-05-18T12:27:32.513160+00:00"},{"alias_kind":"pith_short_8","alias_value":"3KBTAFTF","created_at":"2026-05-18T12:27:32.513160+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/3KBTAFTFVU73KRK3H35E4THWXQ","json":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ.json","graph_json":"https://pith.science/api/pith-number/3KBTAFTFVU73KRK3H35E4THWXQ/graph.json","events_json":"https://pith.science/api/pith-number/3KBTAFTFVU73KRK3H35E4THWXQ/events.json","paper":"https://pith.science/paper/3KBTAFTF"},"agent_actions":{"view_html":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ","download_json":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ.json","view_paper":"https://pith.science/paper/3KBTAFTF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1311.6007&json=true","fetch_graph":"https://pith.science/api/pith-number/3KBTAFTFVU73KRK3H35E4THWXQ/graph.json","fetch_events":"https://pith.science/api/pith-number/3KBTAFTFVU73KRK3H35E4THWXQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ/action/storage_attestation","attest_author":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ/action/author_attestation","sign_citation":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ/action/citation_signature","submit_replication":"https://pith.science/pith/3KBTAFTFVU73KRK3H35E4THWXQ/action/replication_record"}},"created_at":"2026-05-18T03:05:35.255151+00:00","updated_at":"2026-05-18T03:05:35.255151+00:00"}