{"id":"W4256090114","doi":"10.1109/icpr.2004.1334502","title":"Neural network based modeling and color rendering for mixed reality","year":2004,"lang":"en","type":"article","venue":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rendering (computer graphics); Computer science; Artificial intelligence; Computer vision; Computer graphics (images); 3D rendering; Artificial neural network; Image-based modeling and rendering; Real-time rendering; Virtual reality; Image-based lighting","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":[0.0003825861,0.000615924,0.0004201492,0.0003498741,0.0002216969,0.0009360585,0.0007306217,0.0007176795,0.002473119],"category_scores_gemma":[0.001068845,0.0003456117,0.0006009652,0.0002864179,0.0004186947,0.0009371525,0.0005169171,0.0008217299,0.0005180679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889829,"about_ca_system_score_gemma":0.0003389573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004217851,"about_ca_topic_score_gemma":0.004040897,"domain_scores_codex":[0.9997782,0.00005931244,0.000007847119,0.00004096692,0.0001006267,0.00001306339],"domain_scores_gemma":[0.9997969,0.000107107,0.00001786528,0.00002254468,0.00004719896,0.000008361676],"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":[0.00003753236,0.00001871718,0.0001507796,0.00005591783,0.00003185831,0.00004986775,0.00004453526,0.9282965,0.00649027,0.02044312,0.0005469364,0.043834],"study_design_scores_gemma":[9.966814e-7,0.000003479768,0.00001910636,0.000001918469,0.000002032543,0.000007300466,0.000001371993,0.9970571,0.0005374722,0.001844925,0.0005219312,0.00000240872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003563449,0.000191132,0.9934464,0.00008631243,0.00002918697,0.000008781361,0.0000212059,0.000282353,0.002371212],"genre_scores_gemma":[0.468551,0.001074369,0.5166811,0.0001396198,0.000108414,0.0001621559,0.0001636408,0.0002423346,0.01287732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004217851,"threshold_uncertainty_score":0.008386612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08509500335519077,"score_gpt":0.3102860406119269,"score_spread":0.2251910372567362,"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."}}