{"id":"W2417906734","doi":"10.1117/1.jei.25.4.041009","title":"Multicamera fusion for shape estimation and visibility analysis of unknown deforming objects","year":2016,"lang":"en","type":"article","venue":"Journal of Electronic Imaging","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual hull; Computer vision; Artificial intelligence; Visibility; Computer science; Triangulation; A priori and a posteriori; Iterative reconstruction; Surface reconstruction; Object (grammar); Surface (topology); Mathematics; Geometry; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003806283,0.00008000351,0.000226094,0.0002878008,0.00003598468,0.00001513679,0.00004948147,0.00002429683,0.000008560305],"category_scores_gemma":[0.0001267715,0.00005683362,0.0001032055,0.0002314626,0.00002015771,0.000214928,0.000007065342,0.00006696196,1.545698e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502665,"about_ca_system_score_gemma":0.00003885826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003732238,"about_ca_topic_score_gemma":0.000009160154,"domain_scores_codex":[0.9992241,0.00001545701,0.0003741041,0.00007489353,0.0001205636,0.0001909374],"domain_scores_gemma":[0.9994125,0.0001471573,0.0001564479,0.00007831653,0.0001663436,0.0000391832],"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":[0.0000639128,0.00003829053,0.004639255,0.0001026208,0.0004399296,0.000001580261,0.0002590268,0.5692648,0.1318106,0.0006088821,0.00002499414,0.2927461],"study_design_scores_gemma":[0.0004877211,0.00005575504,0.002435665,0.00006153929,0.0003368012,0.000007809691,0.00002035878,0.9839493,0.01203131,0.0005062857,0.00003812983,0.00006934423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5156755,0.0003897047,0.4837306,0.00008529521,0.00003857936,0.00005183544,0.000001149632,0.00001221756,0.00001515513],"genre_scores_gemma":[0.994971,0.0001370305,0.004834242,0.00001200379,0.00002715037,7.542466e-7,0.000002015114,0.00001177321,0.00000397215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4792956,"threshold_uncertainty_score":0.2317608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004131733892750624,"score_gpt":0.2258982119120941,"score_spread":0.2217664780193435,"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."}}