{"id":"W2098122645","doi":"10.1109/crv.2009.34","title":"On the Use of Ray-tracing for Viewpoint Interpolation in Panoramic Imagery","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Panorama; Computer vision; Computer science; Interpolation (computer graphics); Ray tracing (physics); Artificial intelligence; Visualization; Limiting; Computer graphics (images); Position (finance); View synthesis; Set (abstract data type); Point (geometry); Tracing; Image (mathematics); Rendering (computer graphics); Mathematics; Geometry; Engineering","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":[0.0001594361,0.00004950915,0.0000708271,0.00007206568,0.00002753291,0.00005086709,0.0001699715,0.00001054098,0.000006376089],"category_scores_gemma":[0.0001418027,0.00003110895,0.00003435513,0.000148784,0.00001018217,0.0005116688,0.00002789868,0.00005584406,0.000003925699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145735,"about_ca_system_score_gemma":0.000008859557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004725262,"about_ca_topic_score_gemma":0.000001861626,"domain_scores_codex":[0.9995239,0.00002390931,0.0001619531,0.0001237326,0.00006982534,0.00009665415],"domain_scores_gemma":[0.9993969,0.0002967958,0.00005326467,0.0002101445,0.0000300809,0.00001287983],"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":[0.00002469247,0.00009219749,0.00009067119,0.000007904388,0.000002139419,0.000001344388,0.0008228407,0.003066161,0.02752695,0.1854324,0.001520442,0.7814122],"study_design_scores_gemma":[0.0001319159,0.00005890173,0.001764939,0.00006412784,4.915602e-7,7.325456e-7,0.00002620192,0.9716884,0.004855453,0.02107703,0.0002797497,0.00005204997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01250593,0.00001094206,0.9840142,0.002941269,0.00006717756,0.0001411238,2.506105e-7,0.00002688063,0.0002922934],"genre_scores_gemma":[0.8163332,0.000003703932,0.1803067,0.00327636,0.000005427566,0.000002095665,3.038883e-7,0.000001767484,0.00007044292],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9686223,"threshold_uncertainty_score":0.1268586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04876105884960875,"score_gpt":0.3076804826145757,"score_spread":0.258919423764967,"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."}}