{"id":"W1943647525","doi":"10.5220/0004683100430052","title":"Non-rigid Registration for Deformable Objects","year":2014,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Rigid transformation; Robustness (evolution); Affine transformation; Image registration; Algorithm; Computer science; Surface (topology); Computer vision; Rigid body; Transformation (genetics); Artificial intelligence; Displacement (psychology); Point set registration; Point (geometry); Mathematics; Geometry; Image (mathematics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000872165,0.00004827821,0.00006496596,0.0000280587,0.00003295658,0.00002144141,0.00003753321,0.00002753358,0.00001532034],"category_scores_gemma":[0.000008253213,0.00004147846,0.0000417977,0.00004560213,0.00000278933,0.00006130814,0.00000226162,0.00002356609,0.00003558982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001073431,"about_ca_system_score_gemma":0.000003325646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001812747,"about_ca_topic_score_gemma":0.00004550794,"domain_scores_codex":[0.9997153,0.000001229689,0.00008268916,0.00005772463,0.00004161073,0.0001014265],"domain_scores_gemma":[0.9998427,0.00001081765,0.000007508954,0.00009518155,0.00001921466,0.00002458859],"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":[0.000002395318,0.000006253527,0.00008040699,0.0000731186,0.00002981729,9.16551e-8,0.00009361322,0.9770278,0.002557966,0.0009030593,0.009196042,0.01002947],"study_design_scores_gemma":[0.000106392,0.00001200805,0.00001571305,0.000004636112,0.00001079784,4.551795e-7,0.00001522002,0.9911581,0.006072003,0.0005476895,0.001993658,0.00006334323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03716201,0.00001030876,0.8806264,0.00002753157,0.00006119023,0.00003893334,6.524417e-7,0.0001727472,0.08190025],"genre_scores_gemma":[0.9914232,0.000004113929,0.00548364,0.00004057234,0.00007959049,0.00001085891,0.00001159,0.000009621086,0.002936766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9542612,"threshold_uncertainty_score":0.1691442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007222883505890606,"score_gpt":0.1978264852123499,"score_spread":0.1906036017064593,"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."}}