{"id":"W4312662496","doi":"10.1109/icpr56361.2022.9956643","title":"3D point clouds simplification based on geometric primitives and graph-structured optimization","year":2022,"lang":"en","type":"article","venue":"2022 26th International Conference on Pattern Recognition (ICPR)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Point cloud; Computer science; Geometric networks; Geometric primitive; Outlier; Geometric modeling; Graph; Simple (philosophy); Algorithm; Measure (data warehouse); Point (geometry); Solid modeling; Theoretical computer science; Artificial intelligence; Mathematics; Data mining; Geometry","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":[0.0004498216,0.001533824,0.001801214,0.002251364,0.000728429,0.001410135,0.001953421,0.001196176,0.001913642],"category_scores_gemma":[0.001797563,0.00101486,0.00286948,0.002434856,0.0008614923,0.001730246,0.001944189,0.002154622,0.001002974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009464163,"about_ca_system_score_gemma":0.001198924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020653,"about_ca_topic_score_gemma":0.01050886,"domain_scores_codex":[0.9991475,0.0001156664,0.00003485583,0.0001420896,0.0004928877,0.00006689413],"domain_scores_gemma":[0.9991112,0.0003054526,0.0001046512,0.0002777803,0.0001584715,0.00004225849],"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":[0.00006399221,0.00005809835,0.0005242478,0.0001376445,0.0001048737,0.0001233235,0.00009858114,0.8363196,0.01191801,0.009843403,0.003236116,0.1375721],"study_design_scores_gemma":[0.000004955158,0.00001112491,0.00009888878,0.000004624935,0.000006787182,0.00003683916,0.000009341788,0.9937994,0.001988656,0.002873651,0.001157997,0.00000776433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002846884,0.0000493215,0.9959895,0.00003506138,0.00001505887,0.00003353131,0.00007587898,0.0006076402,0.0003471345],"genre_scores_gemma":[0.08013503,0.000227817,0.9168397,0.00005786119,0.00004237618,0.0001442278,0.001030999,0.0005424833,0.0009795765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01020653,"threshold_uncertainty_score":0.02029425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084417327466501,"score_gpt":0.2535946378447347,"score_spread":0.2227504645700697,"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."}}