{"id":"W2355708911","doi":"","title":"3D Reconstruction of Point Cloud Based on Image","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Point cloud; Computer graphics (images); Line (geometry); OpenGL; Image (mathematics); Point (geometry); Projector; Pinhole camera model; Object (grammar); Constraint (computer-aided design); 3D reconstruction; Camera resectioning; Camera auto-calibration; Visualization; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002210839,0.000680624,0.0007239811,0.001801958,0.0004113679,0.001381292,0.0007706441,0.0006438252,0.003998278],"category_scores_gemma":[0.0007653732,0.0005467046,0.001214843,0.001708411,0.0003563416,0.001102959,0.0009696429,0.0006849637,0.002115223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004231201,"about_ca_system_score_gemma":0.00063718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003576339,"about_ca_topic_score_gemma":0.002270838,"domain_scores_codex":[0.9995471,0.00003547646,0.00001806496,0.00007757503,0.0002833653,0.00003836728],"domain_scores_gemma":[0.999763,0.00003271997,0.00001857726,0.00006848685,0.0001029221,0.00001433873],"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":[0.0002858505,0.00009842362,0.005019487,0.0006555423,0.0001450463,0.001017893,0.0007006833,0.2352722,0.1643003,0.03213065,0.01029034,0.5500836],"study_design_scores_gemma":[0.00002497742,0.00006567107,0.002780004,0.00005339601,0.00003659139,0.0009351552,0.0001698105,0.9132051,0.06186954,0.006142571,0.01464839,0.00006871048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01454166,0.0001800501,0.9805478,0.00007007176,0.00004620965,0.00004914382,0.0002776296,0.001526314,0.002761147],"genre_scores_gemma":[0.283919,0.001170864,0.7079191,0.00005642396,0.00004594336,0.0001246306,0.001809134,0.0004359281,0.004519051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003998278,"threshold_uncertainty_score":0.01337558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006763902584558935,"score_gpt":0.2004086677640867,"score_spread":0.1936447651795277,"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."}}