{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008445847,0.0001609545,0.0002647862,0.0001110163,0.00006789879,0.00009047519,0.0005765718,0.00009850054,0.00005527865],"category_scores_gemma":[0.0001764445,0.0001393505,0.00006749338,0.0002768279,0.0001677583,0.0005625357,0.000242572,0.00016374,0.000006018119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009632061,"about_ca_system_score_gemma":0.00007972994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086589,"about_ca_topic_score_gemma":0.0003081369,"domain_scores_codex":[0.9983511,0.00006770176,0.0004553712,0.0003747689,0.0004020653,0.0003490001],"domain_scores_gemma":[0.998802,0.0002479686,0.0001651605,0.0004592891,0.0002184489,0.0001071088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006672226,0.0001941869,0.01772842,0.00002877868,0.00006690403,0.00003034985,0.002023022,0.000004802633,0.7100223,0.1585584,0.0003305011,0.1109455],"study_design_scores_gemma":[0.0002046885,0.0002347203,0.00315862,0.0001108497,0.00001200523,0.000006176525,0.0007772132,0.00555907,0.9837638,0.005931244,0.000005002613,0.000236594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3082227,0.00001359554,0.5145378,0.00003815169,0.0002627365,0.0001232641,0.000004556758,0.0003359157,0.1764613],"genre_scores_gemma":[0.8016461,0.000004695864,0.1981963,0.00004714332,0.00006474115,7.87627e-7,0.000001547221,0.000005810146,0.00003287017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4934234,"threshold_uncertainty_score":0.5682548,"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."}}