{"id":"W2352537003","doi":"10.1631/jzus.2006.a1026","title":"Research and development of fringe projection-based methods in 3D shape reconstruction","year":2006,"lang":"en","type":"article","venue":"Journal of Zhejiang University. Science A","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Structured-light 3D scanner; Computer science; Projection (relational algebra); Computer vision; Path (computing); Fourier transform; Artificial intelligence; 3D reconstruction; Algorithm; Mathematics","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":[0.003311482,0.0007916975,0.0008603574,0.001883991,0.0005050395,0.001463333,0.001627564,0.001383432,0.002437505],"category_scores_gemma":[0.004898772,0.0007795915,0.0007698943,0.001745058,0.001738961,0.002926764,0.001173866,0.00158827,0.001128578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150749,"about_ca_system_score_gemma":0.0007128756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000921722,"about_ca_topic_score_gemma":0.000713076,"domain_scores_codex":[0.9982712,0.0005178268,0.00006588008,0.0002601456,0.0008355648,0.0000493203],"domain_scores_gemma":[0.9965922,0.002007601,0.0001379549,0.0003925971,0.0007959445,0.00007360837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009337658,0.00009053486,0.0009915871,0.0009506635,0.00009097401,0.0001810458,0.0005332243,0.0336016,0.04173801,0.09648063,0.002326413,0.8229219],"study_design_scores_gemma":[0.0000582915,0.0002659757,0.001497075,0.0003480242,0.00006168305,0.001742152,0.0002271394,0.7137457,0.09638929,0.06979258,0.1156487,0.0002234352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001548136,0.004670747,0.9917238,0.00018533,0.00004797464,0.00002653128,0.00001349187,0.0001487126,0.001635267],"genre_scores_gemma":[0.03178398,0.009889302,0.9559044,0.0001095873,0.0001691151,0.00009438094,0.00007419584,0.0001088139,0.001866215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003311482,"threshold_uncertainty_score":0.01751304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039102031063121,"score_gpt":0.3680702824142132,"score_spread":0.264160079307901,"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."}}