{"id":"W2006385691","doi":"10.1109/3dpvt.2006.136","title":"The Reverse Projection Correlation Principle for Depth from Defocus","year":2006,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pixel; Radiance; Focus (optics); Computer vision; Artificial intelligence; Projection (relational algebra); Computer science; Position (finance); Invariant (physics); Correlation; Mathematics; Optics; Algorithm; Geometry; Physics","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":[0.001438291,0.0007731226,0.0007344826,0.001063821,0.0005463879,0.001376814,0.001023552,0.001128071,0.002725574],"category_scores_gemma":[0.004045004,0.0005239362,0.0008795862,0.001204957,0.002399084,0.002653824,0.002513891,0.003089243,0.001044891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008707544,"about_ca_system_score_gemma":0.001186799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762072,"about_ca_topic_score_gemma":0.001276413,"domain_scores_codex":[0.9986959,0.0002144028,0.00003157249,0.0002530975,0.0007389722,0.00006605585],"domain_scores_gemma":[0.9989945,0.0004546941,0.0001184192,0.000190173,0.0001962692,0.00004602275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005233468,0.00002003172,0.0003161611,0.0002203629,0.00004104037,0.0001842105,0.0002094528,0.02415815,0.01254952,0.8640785,0.003291946,0.0948783],"study_design_scores_gemma":[0.00003995604,0.0001264505,0.001205243,0.0001215494,0.00003606875,0.0008724174,0.00009608277,0.320051,0.00861296,0.6244956,0.04423223,0.0001103904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002497755,0.001531789,0.989211,0.000320766,0.00009867769,0.00002900322,0.00006374338,0.0001412405,0.006105899],"genre_scores_gemma":[0.2050052,0.006823514,0.7763203,0.00102313,0.0009160718,0.0003843824,0.0003482513,0.0002774947,0.008901739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002725574,"threshold_uncertainty_score":0.009117961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009925721310999917,"score_gpt":0.2458262722155967,"score_spread":0.2359005509045968,"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."}}