{"id":"W2047825202","doi":"10.1109/3dpvt.2006.36","title":"Belief Propagation for Panorama Generation","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Panorama; Ghosting; Computer vision; Belief propagation; Computer science; Artificial intelligence; Markov random field; Computer graphics (images); Process (computing); Markov process; Image (mathematics); Algorithm; Mathematics; Image segmentation","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":[0.001578164,0.001098222,0.001226214,0.001438687,0.0008411189,0.001438839,0.002220163,0.001389933,0.00534278],"category_scores_gemma":[0.006149211,0.00111724,0.0009991038,0.001660628,0.0009630761,0.002165266,0.001781318,0.002303547,0.00122187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318724,"about_ca_system_score_gemma":0.001258047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008166547,"about_ca_topic_score_gemma":0.00970317,"domain_scores_codex":[0.999078,0.0002560001,0.00005268437,0.0002219622,0.0002963709,0.00009506095],"domain_scores_gemma":[0.9975055,0.001709223,0.000117916,0.0001980219,0.00039994,0.00006940199],"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":[0.0002136925,0.0000690064,0.000596076,0.0001492976,0.0001047725,0.00009473976,0.0001461389,0.7463471,0.002926751,0.03199644,0.003963558,0.2133924],"study_design_scores_gemma":[0.00001835714,0.00000912735,0.00004627504,0.000008668164,0.000009323949,0.00001448582,0.000007914219,0.9829763,0.0008773888,0.01502581,0.0009975045,0.000008847882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001229949,0.00007595056,0.9978014,0.00004433196,0.00001196024,0.00001685165,0.00003550547,0.0004202442,0.0003639194],"genre_scores_gemma":[0.1204584,0.0002128192,0.8766654,0.00009054731,0.00004736313,0.0002256386,0.0003992867,0.0002419909,0.001658604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008166547,"threshold_uncertainty_score":0.01787341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788100354218998,"score_gpt":0.2684427536445333,"score_spread":0.2505617501023433,"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."}}