{"id":"W2105511331","doi":"10.1109/ccece.2007.333","title":"A Study on Significance of Color in Face Recognition using Several Eigenface Algorithms","year":2007,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eigenface; Facial recognition system; Computer science; Artificial intelligence; Face (sociological concept); Three-dimensional face recognition; Biometrics; Salient; Face Recognition Grand Challenge; Grayscale; Face detection; Pattern recognition (psychology); Computer vision; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005945766,0.0001064623,0.0001505861,0.0001833931,0.00004669552,0.00002895007,0.0002375959,0.0000561679,0.00002314873],"category_scores_gemma":[0.0000282672,0.00009528908,0.0000319848,0.0004946089,0.00001801979,0.0003263987,0.00006649303,0.0001109708,0.00004660751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005598385,"about_ca_system_score_gemma":0.00003690865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002228151,"about_ca_topic_score_gemma":0.00007893101,"domain_scores_codex":[0.9988071,0.00007467324,0.0002998925,0.0003133665,0.0002772025,0.0002277432],"domain_scores_gemma":[0.9994425,0.0001175843,0.00009683606,0.0002125499,0.00007717485,0.00005338309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007423793,0.009275384,0.02148658,0.0001003499,0.0001055091,0.0004983169,0.03354457,0.01379569,0.2031743,0.0006386604,0.001118652,0.7155196],"study_design_scores_gemma":[0.004989106,0.002803077,0.08544068,0.0003718754,0.00002100005,0.00002791458,0.017303,0.2864284,0.599205,0.002149718,0.0001770353,0.001083201],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6954923,0.000004566163,0.3028319,0.00003779924,0.0001244882,0.0003647118,0.000002219825,0.00004084596,0.001101105],"genre_scores_gemma":[0.954471,0.000001890764,0.04526589,0.000143156,0.00001758526,0.000009913461,0.000001920867,0.00000523334,0.00008341394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7144364,"threshold_uncertainty_score":0.3885776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07815214584825307,"score_gpt":0.3269465699175484,"score_spread":0.2487944240692954,"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."}}