{"id":"W2790044661","doi":"10.1109/vcip.2017.8305070","title":"Exemplar-based framework for 3D point cloud hole filling","year":2017,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Point cloud; Computer science; Boundary (topology); Matching (statistics); Filling-in; Point (geometry); Hausdorff distance; Similarity (geometry); Algorithm; Computer vision; Artificial intelligence; Geometry; Mathematics; Image (mathematics); Mathematical analysis","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":[0.0001309685,0.0001061923,0.0001506964,0.00003937021,0.0002516292,0.0001286149,0.0002005071,0.00008985424,0.0001278489],"category_scores_gemma":[0.00009936904,0.00009642746,0.0001261717,0.00002457821,0.00001149148,0.00006331356,0.00001483081,0.0001080439,0.00005194574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001637238,"about_ca_system_score_gemma":0.000006819433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000219212,"about_ca_topic_score_gemma":0.00001066655,"domain_scores_codex":[0.9994443,0.000003427683,0.0001311803,0.0001358379,0.00007784132,0.0002073937],"domain_scores_gemma":[0.9993618,0.00005934631,0.00002698111,0.0004626079,0.00003113037,0.00005814345],"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":[0.000008314719,0.00002018581,0.0002707173,0.00008636654,0.00009238481,0.000003001122,0.00009928759,0.9808332,0.0006139142,0.001770429,0.003998242,0.01220401],"study_design_scores_gemma":[0.0001633906,0.00001002996,0.0000212679,0.00004949728,0.00003104932,1.455756e-7,0.00002189973,0.9900264,0.003619133,0.002978845,0.002925955,0.0001524456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01714847,0.00008186141,0.9783009,0.0004414776,0.0002985229,0.00006010853,0.000008805511,0.000270745,0.003389106],"genre_scores_gemma":[0.8315351,0.000006797552,0.1677515,0.000106562,0.0002449414,0.00001496698,0.000006740096,0.00002662882,0.0003067332],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8143866,"threshold_uncertainty_score":0.3932198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668544767143797,"score_gpt":0.2665051088661863,"score_spread":0.2398196611947483,"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."}}