{"id":"W4413278052","doi":"10.1109/icip55913.2025.11084585","title":"Estimating Virtual Camera FOV to Reduce Perspective Shape Distortion in 2D-to-3D Face Reconstruction","year":2025,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Perspective (graphical); Computer vision; Face (sociological concept); Artificial intelligence; Distortion (music); Computer science; Iterative reconstruction; Computer graphics (images); Telecommunications; Bandwidth (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001869921,0.0001052218,0.0001535871,0.0004600532,0.0001050349,0.0001254721,0.0002410525,0.00004090706,0.00007469588],"category_scores_gemma":[0.0002238409,0.0001057775,0.00005559943,0.001489726,0.00001706517,0.0003473062,0.0001170402,0.0001093845,0.0001930116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442038,"about_ca_system_score_gemma":0.00007173804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003337176,"about_ca_topic_score_gemma":0.0002893102,"domain_scores_codex":[0.9989327,0.00005642861,0.000232013,0.0004516412,0.0001451532,0.0001820495],"domain_scores_gemma":[0.9994774,0.00004660447,0.0000426124,0.0002122174,0.0001337028,0.00008749774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008967955,0.00005216559,0.0004152562,0.00000487854,0.00002299401,0.000002535335,0.002440717,0.01051984,0.002632332,0.01033877,0.0004378991,0.9731237],"study_design_scores_gemma":[0.0002696656,0.00008188844,0.003287365,0.0001238303,0.00001317722,0.000007878825,0.004340379,0.9869899,0.003030098,0.001441918,0.00016546,0.0002484808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1786118,0.00001163199,0.8098786,0.005060577,0.0003616562,0.0001468943,0.000001362667,0.0001155582,0.005811945],"genre_scores_gemma":[0.8523471,0.000001745819,0.1452103,0.0008089238,0.00002749801,0.00002615317,0.000001743278,0.000003479205,0.001573056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.97647,"threshold_uncertainty_score":0.4313482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293207575568942,"score_gpt":0.282516736952927,"score_spread":0.2695846611972375,"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."}}