{"id":"W2156413959","doi":"10.1109/isvd.2006.1","title":"3D Facial Model Synthesis using Voronoi Approach","year":2006,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Animation; Computer vision; Artificial intelligence; Computer graphics; Face (sociological concept); Voronoi diagram; Interpolation (computer graphics); Computer animation; Computer facial animation; Free-form deformation; Facial motion capture; Graphics; Feature (linguistics); Computer graphics (images); Facial recognition system; Deformation (meteorology); Feature extraction; Face detection; Mathematics; Geometry","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":[0.0003456901,0.0003555889,0.0005205674,0.000711882,0.0002918869,0.0005294479,0.0006179043,0.0005129312,0.002112824],"category_scores_gemma":[0.0008797471,0.0003635497,0.0008056893,0.0003120397,0.0004345185,0.0005965095,0.0007458125,0.0004155904,0.0005687228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004715884,"about_ca_system_score_gemma":0.0004825341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534936,"about_ca_topic_score_gemma":0.001445966,"domain_scores_codex":[0.9996972,0.00005729597,0.00001223712,0.000046818,0.0001654515,0.00002104262],"domain_scores_gemma":[0.9997962,0.00008735192,0.00001411754,0.00004513435,0.00004322267,0.00001394838],"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":[0.0001030565,0.00003077207,0.0004325821,0.0001320252,0.00002946084,0.0001510742,0.0001925618,0.6568424,0.05742589,0.06071996,0.001842139,0.222098],"study_design_scores_gemma":[0.000009260878,0.00001850625,0.00006152139,0.000005947407,0.000004378197,0.0001030192,0.00001740734,0.9768048,0.008134971,0.01056131,0.004267057,0.00001183862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004271897,0.000044948,0.9943141,0.00002653536,0.00001715698,0.00001488811,0.00002225544,0.000182884,0.001105229],"genre_scores_gemma":[0.2571167,0.0002164705,0.7394211,0.00004001596,0.00002568893,0.0001123185,0.0001774804,0.000159645,0.002730552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002112824,"threshold_uncertainty_score":0.007068157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107432188269504,"score_gpt":0.2289813394896569,"score_spread":0.1979070176069619,"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."}}