{"id":"W2116378369","doi":"10.1109/icme.2000.871114","title":"Partial update of active textures for efficient expression synthesis in model-based coding","year":2002,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Coding (social sciences); Artificial intelligence; Computer vision; Texture synthesis; Animation; Projective texture mapping; Expression (computer science); MPEG-4; Pattern recognition (psychology); Texture filtering; High fidelity; Image texture; Image (mathematics); Computer graphics (images); Image processing; Mathematics","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":[0.0001531943,0.0002925422,0.0002887939,0.0002183449,0.0001387668,0.0003501094,0.0003338356,0.0001883239,0.001103734],"category_scores_gemma":[0.0005169617,0.0001503645,0.0002544549,0.0001932161,0.0002249869,0.0004757379,0.0003187134,0.00034354,0.0002493918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525523,"about_ca_system_score_gemma":0.000163506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006108219,"about_ca_topic_score_gemma":0.0008262639,"domain_scores_codex":[0.9999142,0.00001658232,0.000004138883,0.00001023229,0.00004376803,0.00001109663],"domain_scores_gemma":[0.9998686,0.00004602863,0.00001049327,0.00004468534,0.00002233245,0.000007842681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002501551,0.00005100921,0.000315178,0.00008761801,0.00001557442,0.0001151213,0.0001242071,0.08170981,0.4857684,0.02273943,0.001060716,0.4077627],"study_design_scores_gemma":[0.00002000266,0.00009973794,0.0002651786,0.00000862543,0.00001502399,0.0002096102,0.00001632761,0.8159097,0.1730052,0.003770289,0.006665,0.0000153262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02493361,0.0001140266,0.9734005,0.00003312415,0.00002074561,0.00002025161,0.00001895362,0.0003730051,0.001085771],"genre_scores_gemma":[0.4745644,0.0003243143,0.5212659,0.00003317256,0.00002914665,0.00006084917,0.0001205733,0.0001624918,0.00343917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001103734,"threshold_uncertainty_score":0.003692329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02964968246749528,"score_gpt":0.2540709273605099,"score_spread":0.2244212448930146,"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."}}