{"id":"W2348097582","doi":"","title":"Matching contour of 3-D objects based on B-splines curve representation","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Curvature; Mathematics; Matching (statistics); Invariant (physics); Torsion of a curve; Algorithm; Torsion (gastropod); Transformation (genetics); Rotation (mathematics); Artificial intelligence; Pattern recognition (psychology); Geometry; Computer science; Principal curvature; Mean curvature","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":[0.0006335712,0.0005320652,0.0008226019,0.002955356,0.0004479211,0.001163603,0.001182787,0.001178692,0.003025136],"category_scores_gemma":[0.002209259,0.000408634,0.0009415635,0.002626485,0.0006304006,0.001717318,0.0008005885,0.0006488576,0.001490604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005731827,"about_ca_system_score_gemma":0.000817796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616782,"about_ca_topic_score_gemma":0.001368162,"domain_scores_codex":[0.9992356,0.0001060945,0.00003978431,0.0001253928,0.0004497325,0.00004333671],"domain_scores_gemma":[0.9995126,0.00009916764,0.0000636495,0.0001445225,0.0001470445,0.00003311013],"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":[0.000299028,0.00009417489,0.00297576,0.0003497248,0.0001124892,0.0003157699,0.0003393168,0.0906968,0.103838,0.0301978,0.003833526,0.7669476],"study_design_scores_gemma":[0.00003405566,0.0001576149,0.003715804,0.00005114871,0.00004643227,0.000878565,0.0001560698,0.8996987,0.05496745,0.02413914,0.01608676,0.00006824105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01209225,0.0001622915,0.9860826,0.00004987129,0.00002113912,0.00004508552,0.00006781454,0.00070357,0.0007752334],"genre_scores_gemma":[0.2114662,0.000484745,0.7844405,0.0000444557,0.00002757365,0.0001072336,0.0006193225,0.0002835274,0.002526416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003025136,"threshold_uncertainty_score":0.01012009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597276315684378,"score_gpt":0.274287777940486,"score_spread":0.2583150147836422,"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."}}