{"id":"W1988317275","doi":"10.1145/1618452.1618522","title":"Consolidation of unorganized point clouds for surface reconstruction","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":490,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Point cloud; Outlier; Computer science; Algorithm; Normal; Iterative closest point; Iterative method; Surface (topology); Mathematical optimization; Computer vision; Artificial intelligence; Mathematics; Geometry","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":[0.0001409422,0.0001010901,0.0001598306,0.0001437855,0.00008168488,0.00001143448,0.00009126399,0.00009155571,0.00002825815],"category_scores_gemma":[0.00001844206,0.0001084394,0.0001431559,0.0003870991,0.00002406459,0.00008205925,3.904825e-7,0.0001196335,0.00000294584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002019169,"about_ca_system_score_gemma":0.0000106849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006081591,"about_ca_topic_score_gemma":0.00001176011,"domain_scores_codex":[0.9994317,0.00001601076,0.0002335731,0.0001164509,0.00008729103,0.0001149508],"domain_scores_gemma":[0.999485,0.00009047957,0.00003367331,0.0002571438,0.00009815572,0.00003560907],"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":[0.00007183625,0.0001355724,0.00005364637,0.00007400955,0.0002709548,3.621832e-7,0.0003430635,0.8225053,0.04313219,0.0008390977,0.0001561514,0.1324178],"study_design_scores_gemma":[0.001688337,0.0003219199,0.0002938463,0.0001164473,0.0004672686,0.00001824585,0.0002765706,0.7356881,0.2186906,0.04171897,0.000201911,0.0005177805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2402392,0.00004556385,0.7589086,0.0003031906,0.0001497463,0.00008921039,0.00003014893,0.0001570412,0.00007729161],"genre_scores_gemma":[0.9901264,0.0002778882,0.009479354,0.0000473934,0.00001591615,0.000003699929,0.00001336581,0.00001479295,0.00002123436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7498872,"threshold_uncertainty_score":0.442203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558074497214159,"score_gpt":0.2321596658219345,"score_spread":0.2165789208497929,"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."}}