{"id":"W1967195444","doi":"10.1109/crv.2010.14","title":"Real-Time Virtual Viewpoint Generation on the GPU for Scene Navigation","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Interpolation (computer graphics); Computer graphics (images); Computer vision; Panorama; Morphing; Artificial intelligence; Representation (politics); Context (archaeology); Field (mathematics); Motion interpolation; Optical flow; Image (mathematics); Object (grammar); Video tracking; Mathematics; Geography","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":[0.0001710586,0.000400171,0.0002911718,0.0002532954,0.0001808066,0.0003684533,0.0007172074,0.000281239,0.003288449],"category_scores_gemma":[0.0006021035,0.0002304061,0.0003133726,0.0002221089,0.000172416,0.000351596,0.0005011862,0.0004436761,0.0005207607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557717,"about_ca_system_score_gemma":0.0003020856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908645,"about_ca_topic_score_gemma":0.003306386,"domain_scores_codex":[0.9998738,0.00002298076,0.000004197458,0.00001867367,0.00006596727,0.00001446096],"domain_scores_gemma":[0.9998556,0.00004333284,0.000007974846,0.00003911277,0.00003964895,0.00001416785],"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":[0.0006458724,0.0001105495,0.001632061,0.0001806881,0.00008148385,0.0003968861,0.0003601921,0.1326636,0.2678977,0.01327195,0.009773211,0.5729859],"study_design_scores_gemma":[0.00004577517,0.00007816572,0.0005197843,0.00001160359,0.00001252038,0.000227184,0.00002823207,0.9356392,0.04857916,0.002265696,0.01257414,0.00001852441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02289824,0.0001023006,0.9720568,0.00004525482,0.00004154658,0.00002868457,0.00005811039,0.002562649,0.002206461],"genre_scores_gemma":[0.2694359,0.0001050699,0.7278551,0.00003517489,0.00001475554,0.0000444344,0.0002055216,0.000359772,0.001944151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003288449,"threshold_uncertainty_score":0.01100093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227165659622835,"score_gpt":0.2926189442509012,"score_spread":0.2703472876546729,"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."}}