{"id":"W4251805455","doi":"10.22215/etd/2009-09024","title":"3D face modelling under unconstrained pose &amp; illumination","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Face (sociological concept); Computer science; Artificial intelligence; Art; Computer graphics (images); Sociology","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":[0.0003531025,0.0007343395,0.000616205,0.000382482,0.0002615419,0.001556051,0.0008181753,0.001364398,0.004940291],"category_scores_gemma":[0.001178396,0.0006920149,0.00140862,0.0003152115,0.0004843613,0.0009160347,0.0009775581,0.0007131596,0.002901397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645614,"about_ca_system_score_gemma":0.0005444665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006985173,"about_ca_topic_score_gemma":0.01086704,"domain_scores_codex":[0.9996601,0.00006105544,0.00001121046,0.00007479157,0.0001518206,0.00004103915],"domain_scores_gemma":[0.9997339,0.00009243776,0.00002258367,0.00009177283,0.00004181771,0.00001758233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001551493,0.00005827413,0.0009328215,0.0001019824,0.00007006319,0.000228996,0.0001391844,0.8390876,0.03495035,0.002678225,0.003301749,0.1182956],"study_design_scores_gemma":[0.000003719626,0.00002403378,0.0005507907,0.0000110724,0.000007141577,0.0001360674,0.00002278306,0.990384,0.006598411,0.0009293907,0.00132139,0.00001129964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05834621,0.0003058706,0.9299554,0.0002620695,0.0001168028,0.0000707729,0.0006838262,0.002016287,0.008242837],"genre_scores_gemma":[0.7438329,0.001073484,0.2259933,0.0001937124,0.0000974881,0.0001280664,0.001894583,0.0008438264,0.02594276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006985173,"threshold_uncertainty_score":0.01652694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689557430346138,"score_gpt":0.2710261930057302,"score_spread":0.2441306187022688,"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."}}