{"id":"W1994332196","doi":"10.1109/vecims.2007.4373940","title":"Constructing 3D Virtual Reality Objects from 2D Images of Real Objects Using NURBS","year":2007,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer vision; Computer graphics (images); Computer science; Artificial intelligence; Virtual reality; Augmented reality; Projector; 3D reconstruction; Grid; Object (grammar); Mathematics; Geometry","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":[0.0005520404,0.001101993,0.0008402142,0.001317054,0.0004215617,0.001523552,0.001190993,0.000616585,0.003915802],"category_scores_gemma":[0.001139087,0.0009218564,0.001346544,0.0006964374,0.001047349,0.00156516,0.001510998,0.001205215,0.002175928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862859,"about_ca_system_score_gemma":0.0004875877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007924372,"about_ca_topic_score_gemma":0.0009554583,"domain_scores_codex":[0.9992999,0.0001398584,0.00004019809,0.00008968828,0.0003850335,0.00004538493],"domain_scores_gemma":[0.9996641,0.0001182739,0.00003637449,0.0001013765,0.00006441771,0.00001541282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001539786,0.00005131789,0.0006882818,0.001214443,0.0001284166,0.000776619,0.000946505,0.1222712,0.1199856,0.1703656,0.003904631,0.5795134],"study_design_scores_gemma":[0.00006279539,0.0003651183,0.001455368,0.0003406167,0.000135317,0.00496232,0.0005034012,0.4512419,0.1731943,0.06254147,0.3048766,0.0003209069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001478493,0.0003142242,0.996415,0.00002723293,0.00003539259,0.00002227555,0.00002887084,0.0004930935,0.001185426],"genre_scores_gemma":[0.02454025,0.0007685572,0.9726906,0.00002799276,0.00002018309,0.00007948685,0.0001529472,0.0001355969,0.001584496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003915802,"threshold_uncertainty_score":0.01309973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05803703899840904,"score_gpt":0.3132176069909146,"score_spread":0.2551805679925055,"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."}}