{"id":"W2026551261","doi":"10.1109/cvpr.2010.5540219","title":"Polynomial shape from shading","year":2010,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Shading; Photometric stereo; Smoothness; Polynomial; Relaxation (psychology); Boundary (topology); Computer science; Iterative method; Mathematics; Ideal (ethics); Mathematical optimization; Boundary value problem; Algorithm; Applied mathematics; Geometry; Computer vision; Mathematical analysis; Image (mathematics); Computer graphics (images)","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":[0.0003976548,0.0005958155,0.0005920748,0.0003787708,0.0004450205,0.0007884079,0.0007772701,0.000925164,0.005564263],"category_scores_gemma":[0.001544617,0.0002624314,0.0008051935,0.0004865503,0.001039749,0.001035647,0.001396005,0.001081187,0.001132803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588506,"about_ca_system_score_gemma":0.0006551523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177876,"about_ca_topic_score_gemma":0.001954522,"domain_scores_codex":[0.9997038,0.00006871911,0.000006528305,0.00005166972,0.0001328512,0.00003629821],"domain_scores_gemma":[0.999671,0.0001495616,0.00003517736,0.00006615825,0.00004984823,0.00002833043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000375286,0.00002985867,0.000308186,0.0001407892,0.00001360144,0.000157302,0.0001660942,0.5411825,0.009585705,0.384419,0.004250366,0.05970924],"study_design_scores_gemma":[0.000007456131,0.00001925822,0.00008202131,0.000006400208,0.000002913076,0.00008953055,0.00002498469,0.8929837,0.001556976,0.1004667,0.004750429,0.000009679383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008142031,0.00009619692,0.9822111,0.0002115621,0.00002656048,0.00001791826,0.00005720395,0.0001469281,0.009090508],"genre_scores_gemma":[0.5417319,0.0006774341,0.437529,0.0002615238,0.0001845588,0.0001085131,0.0003813457,0.0005953487,0.0185304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005564263,"threshold_uncertainty_score":0.01861435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005522306290026326,"score_gpt":0.1851614307505431,"score_spread":0.1796391244605168,"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."}}