{"id":"W2056176311","doi":"10.1006/cviu.2000.0899","title":"Depth from Defocus Estimation in Spatial Domain","year":2001,"lang":"en","type":"article","venue":"Computer Vision and Image Understanding","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mathematics; Image (mathematics); Polynomial; Computer vision; Computation; Artificial intelligence; Hermite polynomials; Algorithm; Function (biology); Domain (mathematical analysis); Computer science; Mathematical analysis","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":[0.0002420645,0.0004598323,0.0004836651,0.0008011818,0.0001871701,0.0005837871,0.0004044256,0.0005165546,0.00149885],"category_scores_gemma":[0.001361495,0.0003179498,0.0002831268,0.0008133135,0.000287148,0.001271417,0.0008785726,0.0005858607,0.0004590122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002739705,"about_ca_system_score_gemma":0.0004886767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002408637,"about_ca_topic_score_gemma":0.002180251,"domain_scores_codex":[0.9997301,0.00003809583,0.00001184184,0.00004338073,0.0001442243,0.00003241379],"domain_scores_gemma":[0.9995663,0.0001385758,0.00005027831,0.00005509409,0.000168438,0.00002129462],"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":[0.0004959241,0.00006367843,0.003043683,0.0004546709,0.00008398005,0.0001597932,0.0002686485,0.06443489,0.2576081,0.013376,0.003158994,0.6568516],"study_design_scores_gemma":[0.00003888427,0.0001278846,0.00558637,0.00004465295,0.00005382791,0.0008102267,0.0001460244,0.8328916,0.1429146,0.01054654,0.00678518,0.00005415734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03019359,0.0008359845,0.9669771,0.00009906693,0.00003042223,0.00002150644,0.0001016261,0.0002980786,0.001442659],"genre_scores_gemma":[0.4841975,0.00213681,0.5094434,0.0001050594,0.00007274134,0.00004564774,0.0004467687,0.00009758721,0.003454497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002408637,"threshold_uncertainty_score":0.005014122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023899713695293,"score_gpt":0.2635687435274636,"score_spread":0.2433297463905106,"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."}}