{"id":"W2129316059","doi":"10.1109/crv.2008.43","title":"Thermal Faceprint: A New Thermal Face Signature Extraction for Infrared Face Recognition","year":2008,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Face (sociological concept); Infrared; Artificial intelligence; Facial recognition system; Computer science; Thermal infrared; Feature extraction; Computer vision; Pattern recognition (psychology); Signature (topology); Face detection; Optics; Mathematics; Physics","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":[0.0004246186,0.0005857875,0.0008301214,0.001364565,0.0003376368,0.0006301965,0.0009319324,0.000731003,0.006299112],"category_scores_gemma":[0.0009399023,0.0002696046,0.0004626486,0.0007456466,0.0003202943,0.001460955,0.0007235097,0.0006131387,0.003745664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540263,"about_ca_system_score_gemma":0.000318649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005277933,"about_ca_topic_score_gemma":0.0007740983,"domain_scores_codex":[0.999335,0.00006287021,0.00002470175,0.000106828,0.0004188962,0.00005173733],"domain_scores_gemma":[0.9996849,0.00005847214,0.00004325583,0.00007039539,0.000120043,0.00002296761],"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":[0.0002412528,0.0001087748,0.001037485,0.0002281653,0.00005995889,0.000141843,0.00004162164,0.002843573,0.2189483,0.001905475,0.005476263,0.7689673],"study_design_scores_gemma":[0.00009226354,0.0007307318,0.01574563,0.00009231573,0.0002018304,0.005423439,0.00009990282,0.3123763,0.5960001,0.004914592,0.0640724,0.0002504852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01510507,0.0007531175,0.9787753,0.00009327681,0.0001503259,0.0001208753,0.0003260241,0.00244056,0.002235444],"genre_scores_gemma":[0.1360401,0.001038727,0.8490596,0.0002171705,0.0001789393,0.0002728319,0.001060844,0.0003029447,0.01182875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006299112,"threshold_uncertainty_score":0.02107263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04028860312127667,"score_gpt":0.2629824102760043,"score_spread":0.2226938071547276,"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."}}