{"id":"W2126775475","doi":"10.1109/crv.2009.15","title":"Optical Flow from Motion Blurred Color Images","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Optical flow; Computer vision; Artificial intelligence; Robustness (evolution); Computer science; Motion estimation; Motion (physics); Color image; Image (mathematics); Image processing","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":[0.0004917971,0.0007832193,0.0006522702,0.002040441,0.0003889096,0.0006620794,0.0006151816,0.0005702695,0.001068382],"category_scores_gemma":[0.002312361,0.0004238692,0.0005154948,0.0008003748,0.000436743,0.00126336,0.0005346062,0.0007392372,0.0003111603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005894778,"about_ca_system_score_gemma":0.0005381987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002960323,"about_ca_topic_score_gemma":0.002211679,"domain_scores_codex":[0.9997802,0.00002833272,0.0000103269,0.00005178354,0.0001047898,0.00002455711],"domain_scores_gemma":[0.9996148,0.000122603,0.00007559836,0.0000378515,0.0001271669,0.00002192639],"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":[0.0003124412,0.00005291208,0.001021404,0.0003687937,0.00006829249,0.0001769841,0.0001891841,0.09080762,0.1477749,0.01497217,0.001784083,0.7424713],"study_design_scores_gemma":[0.00004768023,0.0001724101,0.002517001,0.00007250287,0.00005574703,0.0006960256,0.00004488773,0.8513275,0.1178011,0.01496873,0.0122121,0.00008443655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01400787,0.0006775225,0.9841415,0.00006929927,0.00007997488,0.00003904465,0.00004426415,0.0003052642,0.0006351676],"genre_scores_gemma":[0.157247,0.001503641,0.8388284,0.00006461176,0.0001602326,0.00005802309,0.000214495,0.00009054495,0.001833075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002960323,"threshold_uncertainty_score":0.005886197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100109045708596,"score_gpt":0.2660616654669586,"score_spread":0.256050760896099,"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."}}