{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:AJWWU34V3HP25VLFSQ6GKQFVMO","short_pith_number":"pith:AJWWU34V","canonical_record":{"source":{"id":"1407.6318","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-23T18:12:08Z","cross_cats_sorted":[],"title_canon_sha256":"74643fce6b89675a4a86d8a2050ad59abbd8836bfeec715b5fdf1ce566d28a4b","abstract_canon_sha256":"5b30f11bd8678a830fa9ec9586f68cb217dd9c0634acfc10cbaf51043e9e3484"},"schema_version":"1.0"},"canonical_sha256":"026d6a6f95d9dfaed565943c6540b5638e68ce43327aeacd7459bf289c1458ea","source":{"kind":"arxiv","id":"1407.6318","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1407.6318","created_at":"2026-05-18T02:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"1407.6318v1","created_at":"2026-05-18T02:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.6318","created_at":"2026-05-18T02:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"AJWWU34V3HP2","created_at":"2026-05-18T12:28:19Z"},{"alias_kind":"pith_short_16","alias_value":"AJWWU34V3HP25VLF","created_at":"2026-05-18T12:28:19Z"},{"alias_kind":"pith_short_8","alias_value":"AJWWU34V","created_at":"2026-05-18T12:28:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:AJWWU34V3HP25VLFSQ6GKQFVMO","target":"record","payload":{"canonical_record":{"source":{"id":"1407.6318","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-23T18:12:08Z","cross_cats_sorted":[],"title_canon_sha256":"74643fce6b89675a4a86d8a2050ad59abbd8836bfeec715b5fdf1ce566d28a4b","abstract_canon_sha256":"5b30f11bd8678a830fa9ec9586f68cb217dd9c0634acfc10cbaf51043e9e3484"},"schema_version":"1.0"},"canonical_sha256":"026d6a6f95d9dfaed565943c6540b5638e68ce43327aeacd7459bf289c1458ea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:46:39.860862Z","signature_b64":"b0mJDLP/O8qB/Z+nvoCG33Cu1tqb3iIrf2BOBlHOZG13hJLLZUdzVQ4vpHW64/KI8rGD/3sR/tywMgS5qOgCAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"026d6a6f95d9dfaed565943c6540b5638e68ce43327aeacd7459bf289c1458ea","last_reissued_at":"2026-05-18T02:46:39.860346Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:46:39.860346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1407.6318","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MK7WwK0nHU8h2uG4Xvjc0n+bvmrlsUtizDPIzp75H15+iUHz6VjbMOBfyloO3ItQNGjCrrhfbF7XrzFSEYNRDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T14:22:20.324708Z"},"content_sha256":"42531a9ac94fa6e1945d643fcd4536e629d74483f3973a866346cb1cdbcfe6eb","schema_version":"1.0","event_id":"sha256:42531a9ac94fa6e1945d643fcd4536e629d74483f3973a866346cb1cdbcfe6eb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:AJWWU34V3HP25VLFSQ6GKQFVMO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A robust and adaptable method for face detection based on Color Probabilistic Estimation Technique","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fatemeh Davami, Reza Azad","submitted_at":"2014-07-23T18:12:08Z","abstract_excerpt":"Human face perception is currently an active research area in the computer vision community. Skin detection is one of the most important and primary stages for this purpose. So far, many approaches are proposed to done this case. Near all of these methods have tried to find best match intensity distribution with skin pixels based on popular color spaces such as RGB, HSI or YCBCR. Results show that these methods cannot provide an accurate approach for every kind of skin. In this paper, an approach is proposed to solve this problem using a color probabilistic estimation technique. This approach "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.6318","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cKIY52XHW+s6CqUqAgQm5YcxF0gX7zKRjqcm8LRaU1xY5wM13DRCYQ4s2yt0PHAiDgzU5LGe+OEVLFJI0DCVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T14:22:20.325301Z"},"content_sha256":"5a3c74e2659910f8593b79a59be7495124822f0a80cc3a960a16a2f06dc9df16","schema_version":"1.0","event_id":"sha256:5a3c74e2659910f8593b79a59be7495124822f0a80cc3a960a16a2f06dc9df16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AJWWU34V3HP25VLFSQ6GKQFVMO/bundle.json","state_url":"https://pith.science/pith/AJWWU34V3HP25VLFSQ6GKQFVMO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AJWWU34V3HP25VLFSQ6GKQFVMO/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":"2026-05-27T14:22:20Z","links":{"resolver":"https://pith.science/pith/AJWWU34V3HP25VLFSQ6GKQFVMO","bundle":"https://pith.science/pith/AJWWU34V3HP25VLFSQ6GKQFVMO/bundle.json","state":"https://pith.science/pith/AJWWU34V3HP25VLFSQ6GKQFVMO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AJWWU34V3HP25VLFSQ6GKQFVMO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:AJWWU34V3HP25VLFSQ6GKQFVMO","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":"5b30f11bd8678a830fa9ec9586f68cb217dd9c0634acfc10cbaf51043e9e3484","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-23T18:12:08Z","title_canon_sha256":"74643fce6b89675a4a86d8a2050ad59abbd8836bfeec715b5fdf1ce566d28a4b"},"schema_version":"1.0","source":{"id":"1407.6318","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1407.6318","created_at":"2026-05-18T02:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"1407.6318v1","created_at":"2026-05-18T02:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.6318","created_at":"2026-05-18T02:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"AJWWU34V3HP2","created_at":"2026-05-18T12:28:19Z"},{"alias_kind":"pith_short_16","alias_value":"AJWWU34V3HP25VLF","created_at":"2026-05-18T12:28:19Z"},{"alias_kind":"pith_short_8","alias_value":"AJWWU34V","created_at":"2026-05-18T12:28:19Z"}],"graph_snapshots":[{"event_id":"sha256:5a3c74e2659910f8593b79a59be7495124822f0a80cc3a960a16a2f06dc9df16","target":"graph","created_at":"2026-05-18T02:46:39Z","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":"Human face perception is currently an active research area in the computer vision community. Skin detection is one of the most important and primary stages for this purpose. So far, many approaches are proposed to done this case. Near all of these methods have tried to find best match intensity distribution with skin pixels based on popular color spaces such as RGB, HSI or YCBCR. Results show that these methods cannot provide an accurate approach for every kind of skin. In this paper, an approach is proposed to solve this problem using a color probabilistic estimation technique. This approach ","authors_text":"Fatemeh Davami, Reza Azad","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-23T18:12:08Z","title":"A robust and adaptable method for face detection based on Color Probabilistic Estimation Technique"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.6318","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":"sha256:42531a9ac94fa6e1945d643fcd4536e629d74483f3973a866346cb1cdbcfe6eb","target":"record","created_at":"2026-05-18T02:46:39Z","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":"5b30f11bd8678a830fa9ec9586f68cb217dd9c0634acfc10cbaf51043e9e3484","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-23T18:12:08Z","title_canon_sha256":"74643fce6b89675a4a86d8a2050ad59abbd8836bfeec715b5fdf1ce566d28a4b"},"schema_version":"1.0","source":{"id":"1407.6318","kind":"arxiv","version":1}},"canonical_sha256":"026d6a6f95d9dfaed565943c6540b5638e68ce43327aeacd7459bf289c1458ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"026d6a6f95d9dfaed565943c6540b5638e68ce43327aeacd7459bf289c1458ea","first_computed_at":"2026-05-18T02:46:39.860346Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:46:39.860346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b0mJDLP/O8qB/Z+nvoCG33Cu1tqb3iIrf2BOBlHOZG13hJLLZUdzVQ4vpHW64/KI8rGD/3sR/tywMgS5qOgCAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:46:39.860862Z","signed_message":"canonical_sha256_bytes"},"source_id":"1407.6318","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42531a9ac94fa6e1945d643fcd4536e629d74483f3973a866346cb1cdbcfe6eb","sha256:5a3c74e2659910f8593b79a59be7495124822f0a80cc3a960a16a2f06dc9df16"],"state_sha256":"a80ba6d5da5da7f62cfc122831fdc960c932e3cf44f36d45d899006e8c051753"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qUin65JoX+mUTtzRDFNYyAka3sFrOB/jOCO9Ki9P1cADCx2aA63gSU+Jtq31qc6+LvHtl4Kr90qOTWhmuEknBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T14:22:20.328549Z","bundle_sha256":"2e950184618f1f59393438df7ef7283a09f1db8b35807af856f48b131745ae3f"}}