{"id":"W2113739150","doi":"","title":"Horizontal features based illumination normalization method for face recognition","year":2011,"lang":"en","type":"article","venue":"International Symposium on Image and Signal Processing and Analysis","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Artificial intelligence; Normalization (sociology); Decimation; Facial recognition system; Computer science; Computer vision; Face (sociological concept); Pattern recognition (psychology); Similarity (geometry); Gamma correction; Similarity measure; Transformation (genetics); Filter (signal processing); Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002343323,0.0004288389,0.0004596612,0.0007645892,0.0003581994,0.0003530535,0.0004678415,0.0002791236,0.003323318],"category_scores_gemma":[0.0004616752,0.0002052015,0.0005175839,0.0006999229,0.0002678552,0.0005910379,0.0003819865,0.0004914269,0.001448866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631656,"about_ca_system_score_gemma":0.000393158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088597,"about_ca_topic_score_gemma":0.001692505,"domain_scores_codex":[0.9996953,0.0000328003,0.00001397896,0.00008043585,0.000148084,0.00002938622],"domain_scores_gemma":[0.9998143,0.00003574206,0.0000226658,0.00004156723,0.00007669804,0.000009034372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001005953,0.0000549756,0.001046143,0.0001416761,0.00005459867,0.0000847585,0.00006583974,0.00442301,0.1280161,0.003023746,0.003265193,0.8597234],"study_design_scores_gemma":[0.00004731281,0.0003845213,0.01818709,0.00009342197,0.0002451086,0.002780887,0.0001869681,0.3693023,0.5434865,0.006233197,0.05889386,0.0001589554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02553299,0.001150207,0.9678371,0.000079625,0.0001431822,0.00006289792,0.0001426127,0.001258695,0.003792749],"genre_scores_gemma":[0.2679622,0.002419047,0.7190832,0.0001475457,0.0002009623,0.0002092696,0.0007013425,0.0002176699,0.009058679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003323318,"threshold_uncertainty_score":0.01111758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778154857302504,"score_gpt":0.2707792056403258,"score_spread":0.2529976570673007,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}