{"id":"W1502663832","doi":"10.1109/iscas.2015.7169163","title":"A 5-D IIR depth-velocity filter for enhancing objects moving on linear-trajectories in light field videos","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Victoria","funders":"","keywords":"Infinite impulse response; Passband; Filter (signal processing); Constant (computer programming); 2D Filters; Computer science; Field (mathematics); Plane (geometry); Mathematics; Optics; Computer vision; Physics; Digital filter; Band-pass filter; 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":[0.0002590745,0.000681349,0.0002727245,0.0004734927,0.0002013573,0.0003681219,0.0004644538,0.0007151309,0.001441471],"category_scores_gemma":[0.0005530422,0.0002214618,0.000366888,0.0003864662,0.0002442407,0.0006599451,0.0003023017,0.00042696,0.0005063851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003930997,"about_ca_system_score_gemma":0.0004184704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671669,"about_ca_topic_score_gemma":0.002194854,"domain_scores_codex":[0.9998156,0.00002338311,0.000009534416,0.0000362915,0.00008964493,0.00002554166],"domain_scores_gemma":[0.9998266,0.00004228423,0.00003829622,0.00001813707,0.00005615282,0.00001854645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003629396,0.00008476423,0.0007454684,0.0002971411,0.0000440707,0.0002072274,0.0001461687,0.03124934,0.6666383,0.01003737,0.001399894,0.2887873],"study_design_scores_gemma":[0.00004693561,0.0006495953,0.001896113,0.00004644443,0.0000846219,0.0008032179,0.00006783304,0.5652334,0.4129436,0.001540162,0.01661744,0.00007060324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02776766,0.0004156198,0.9693871,0.0001040987,0.00006041616,0.00005022681,0.00003665515,0.0002714058,0.00190681],"genre_scores_gemma":[0.3106457,0.0009999,0.6825936,0.0002241887,0.00008327273,0.00008889963,0.0001367577,0.00004424345,0.005183437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001671669,"threshold_uncertainty_score":0.004822254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157885210880036,"score_gpt":0.3073647210812672,"score_spread":0.2757858689724669,"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."}}