{"id":"W2058056568","doi":"10.1007/s11263-007-0049-9","title":"A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation","year":2007,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Specular reflection; Computer vision; Triangulation; Artificial intelligence; Computer science; Point (geometry); Path (computing); Specular highlight; Ray; Pixel; Plane (geometry); Optics; Structured light; Epipolar geometry; Computer graphics (images); Mathematics; Image (mathematics); Geometry; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654005,0.00009702296,0.0001709788,0.0002875782,0.00003289821,0.00008828164,0.0005395194,0.00003631497,0.0000156881],"category_scores_gemma":[0.00005240995,0.000078565,0.00007943721,0.0001220701,0.00003050667,0.001040541,0.0001939809,0.0001499158,0.000002644574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005232021,"about_ca_system_score_gemma":0.00002729522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.026928e-7,"about_ca_topic_score_gemma":9.553472e-8,"domain_scores_codex":[0.9985641,0.00006832022,0.0005102875,0.0001546475,0.0005966861,0.0001059965],"domain_scores_gemma":[0.99844,0.0002256628,0.0005679723,0.0001249301,0.0005615419,0.00007995308],"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":[0.0002136779,0.0001182838,0.0001446885,0.000003079011,0.00005328768,0.0000829008,0.0005692253,0.00006878508,0.02349526,0.008285755,0.0006038962,0.9663612],"study_design_scores_gemma":[0.00738311,0.00234336,0.04538077,0.001223787,0.00004146436,0.001792479,0.000199653,0.7313271,0.07598488,0.07698427,0.05666371,0.0006753762],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05051632,0.0003454883,0.9470912,0.0009179826,0.0008200861,0.00004477937,0.000001107424,0.00001115157,0.0002518402],"genre_scores_gemma":[0.7608961,0.00005230978,0.2384356,0.0003391144,0.0002450095,1.108513e-7,0.000001169046,0.000005783008,0.00002472664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9656858,"threshold_uncertainty_score":0.3203788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007237067827696615,"score_gpt":0.3007243201093985,"score_spread":0.2934872522817019,"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."}}