{"id":"W2108492236","doi":"10.1109/robot.2006.1642169","title":"Photo-realistic 3D model reconstruction","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brampton Civic Hospital","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Robotics; 3d model; Field (mathematics); 3D modeling; Ranging; Computer graphics (images); Mobile device; Stereo camera; 3D reconstruction; Robot","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":[0.0005002031,0.001315226,0.0008938122,0.001334942,0.0003937325,0.00173027,0.001390528,0.001754177,0.008644145],"category_scores_gemma":[0.001955718,0.001237986,0.001570097,0.0009943808,0.0006371785,0.001905278,0.001890955,0.001590745,0.004823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285015,"about_ca_system_score_gemma":0.001169486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002988147,"about_ca_topic_score_gemma":0.003845038,"domain_scores_codex":[0.9991409,0.00008541653,0.0000306049,0.0001604927,0.0005254063,0.00005722161],"domain_scores_gemma":[0.9991755,0.00009896426,0.00006619815,0.000445678,0.0001755848,0.00003799675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002325255,0.0001384797,0.002074555,0.0003789341,0.0001403276,0.0009788355,0.000311203,0.5156284,0.09611299,0.017494,0.02126709,0.3452426],"study_design_scores_gemma":[0.00002333396,0.00008197074,0.0009703246,0.00004094394,0.00003369766,0.001199636,0.0001255587,0.9225348,0.041879,0.01019107,0.02283914,0.00008058247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006460745,0.0001187528,0.9878614,0.0001179878,0.00004981453,0.00004690584,0.0004127828,0.00250581,0.002425873],"genre_scores_gemma":[0.2325531,0.000898599,0.75634,0.0002509824,0.00004652819,0.0001080155,0.002841205,0.001457929,0.005503681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008644145,"threshold_uncertainty_score":0.02891749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232937107263338,"score_gpt":0.2501300307697354,"score_spread":0.237800659697102,"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."}}