{"id":"W2366389387","doi":"10.1111/cgf.12802","title":"A Survey of Surface Reconstruction from Point Clouds","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":488,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"European Research Council; Gordon and Betty Moore Foundation; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Surface reconstruction; Point cloud; Computer science; Surface (topology); Representation (politics); 3D reconstruction; Field (mathematics); Prior probability; Artificial intelligence; Iterative reconstruction; Computer vision; Categorization; Point (geometry); Mathematics; Geometry; Bayesian probability","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":[0.002061056,0.001329474,0.002259888,0.005250803,0.0006097038,0.003282802,0.003346614,0.002424233,0.005653627],"category_scores_gemma":[0.005641866,0.001550513,0.002529566,0.006887749,0.001155762,0.003420046,0.002397208,0.001917627,0.004657324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007355767,"about_ca_system_score_gemma":0.000968505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00338798,"about_ca_topic_score_gemma":0.001948766,"domain_scores_codex":[0.9974618,0.000458756,0.0001520092,0.0004597285,0.001368494,0.00009928094],"domain_scores_gemma":[0.9973726,0.000945302,0.0001228972,0.0006288439,0.0008671617,0.00006313674],"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":[0.0000999714,0.00008541357,0.001892607,0.002609086,0.0002516063,0.0002100734,0.0001796562,0.08671354,0.006027837,0.02876619,0.01558392,0.8575802],"study_design_scores_gemma":[0.00002710321,0.0001199885,0.002122622,0.001215182,0.00009581379,0.001352008,0.0002954021,0.7480384,0.01412334,0.0514801,0.1809756,0.0001545477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.002540526,0.03043745,0.9594526,0.0005541281,0.0001429021,0.00007006863,0.0003826323,0.001672668,0.004747084],"genre_scores_gemma":[0.09247627,0.1114132,0.7835816,0.0006047007,0.0006603573,0.0001768029,0.003946477,0.001584233,0.005556274],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005653627,"threshold_uncertainty_score":0.01891327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571952720451916,"score_gpt":0.2029538827178267,"score_spread":0.1872343555133076,"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."}}