{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006424611,0.0007267402,0.0005740739,0.0007529336,0.000377275,0.0006211637,0.000899779,0.0005296489,0.001807644],"category_scores_gemma":[0.002248952,0.0004002147,0.000649083,0.00103339,0.0007219797,0.0007205083,0.0006384791,0.0009388676,0.0006378137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548551,"about_ca_system_score_gemma":0.0004319688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002144973,"about_ca_topic_score_gemma":0.00301103,"domain_scores_codex":[0.9996626,0.00009733051,0.00001509932,0.0000553158,0.0001498856,0.00001969181],"domain_scores_gemma":[0.9993729,0.0003205027,0.00004754969,0.0001457974,0.00009094959,0.00002235054],"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":[0.0003423195,0.0001028243,0.001064643,0.0003628315,0.0001177964,0.0002880675,0.0003830054,0.2615229,0.107225,0.04462959,0.001176423,0.5827846],"study_design_scores_gemma":[0.00002777254,0.000111015,0.0003627852,0.00004185849,0.00002091291,0.0003722575,0.00002507117,0.9386787,0.03971493,0.0128178,0.007775517,0.00005130908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002504491,0.0001221178,0.9966199,0.00001342109,0.000009176314,0.00001703608,0.000009189678,0.0002922671,0.0004124355],"genre_scores_gemma":[0.0657514,0.0004441585,0.9326665,0.00001750307,0.00001590093,0.00003327409,0.00006385234,0.0001298973,0.0008774872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002144973,"threshold_uncertainty_score":0.00604713,"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."}}