{"id":"W2091247382","doi":"10.1109/tvcg.2012.112","title":"Rich Intrinsic Image Decomposition of Outdoor Scenes from Multiple Views","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Computer science; Computer vision; Point cloud; Visibility; Artificial intelligence; Point (geometry); Image (mathematics); Pixel; Computational photography; Cloud computing; Image processing; Mathematics; Optics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002433748,0.0009724818,0.0005305174,0.000972159,0.0001754577,0.0008971671,0.0005855361,0.0004356142,0.001565628],"category_scores_gemma":[0.0007392833,0.000496771,0.0008349383,0.0006230996,0.0003473582,0.001126658,0.0009206863,0.001052289,0.0006862414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302853,"about_ca_system_score_gemma":0.000469458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508159,"about_ca_topic_score_gemma":0.002551834,"domain_scores_codex":[0.9997566,0.00002875797,0.000008258333,0.00004497548,0.0001323539,0.0000289507],"domain_scores_gemma":[0.9997515,0.00004631441,0.00004039229,0.00005880313,0.00008286032,0.00002019036],"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":[0.0001630028,0.0000939845,0.002217125,0.0003461929,0.0001472043,0.0003159677,0.0002855549,0.1876987,0.4419491,0.02063094,0.003283048,0.3428691],"study_design_scores_gemma":[0.00001416819,0.00005812254,0.003111078,0.00002515004,0.00004059194,0.0004249103,0.00007743158,0.8998814,0.0821518,0.009483006,0.004687405,0.00004495389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01573615,0.0000796473,0.9830846,0.00003366095,0.000009504226,0.00001133203,0.00008765174,0.0003874142,0.0005700231],"genre_scores_gemma":[0.1991027,0.0004269122,0.7975988,0.00005164842,0.000047601,0.00004512969,0.0008473099,0.0003470202,0.001532879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001565628,"threshold_uncertainty_score":0.005237579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589822800502153,"score_gpt":0.3160315471549179,"score_spread":0.2901333191498964,"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."}}