{"id":"W2985853690","doi":"10.3390/rs11222644","title":"RealPoint3D: Generating 3D Point Clouds from a Single Image of Complex Scenarios","year":2019,"lang":"en","type":"article","venue":"Remote Sensing","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Point cloud; Computer science; Artificial intelligence; Computer vision; Object (grammar); Image (mathematics); Point (geometry); Viewpoints; Field (mathematics); Deep learning; Cloud computing; Computer graphics (images); Geometry; Mathematics","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":[0.0004926834,0.002234295,0.001085868,0.001894115,0.0005010613,0.001223715,0.003323827,0.001324993,0.005090341],"category_scores_gemma":[0.001469167,0.00121148,0.00237891,0.001700865,0.0006321577,0.001532773,0.0025153,0.001653666,0.00272263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009949423,"about_ca_system_score_gemma":0.0009863892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189325,"about_ca_topic_score_gemma":0.02119741,"domain_scores_codex":[0.9994463,0.00004125595,0.0000206315,0.0001533979,0.0002831306,0.0000553529],"domain_scores_gemma":[0.9996428,0.00006829959,0.00002873419,0.00014645,0.00008154085,0.00003212232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003515583,0.0002198854,0.003141755,0.000696425,0.0003584821,0.0007205834,0.0002614543,0.4545034,0.02905156,0.007598527,0.03939987,0.4636965],"study_design_scores_gemma":[0.00004259273,0.00004543925,0.0005851973,0.00002840553,0.00001974955,0.0003749485,0.00004664554,0.9686074,0.01477269,0.006023432,0.009412107,0.00004132838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01091468,0.0003986975,0.9655055,0.0001818178,0.0001192815,0.0002627551,0.003199422,0.01750787,0.001909988],"genre_scores_gemma":[0.1535126,0.000798109,0.8267006,0.0002099785,0.00005526989,0.0003697448,0.01433278,0.001681741,0.002339169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189325,"threshold_uncertainty_score":0.02364802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655575708717966,"score_gpt":0.2147955309003483,"score_spread":0.1982397738131687,"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."}}