{"id":"W2081367248","doi":"10.1109/wacv.2015.122","title":"A General Framework for Fast 3D Object Detection and Localization Using an Uncalibrated Camera","year":2015,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Robustness (evolution); Computer vision; Memory footprint; Pattern recognition (psychology); Object detection; Feature matching; Feature extraction; Search engine indexing; Cognitive neuroscience of visual object recognition; Matching (statistics); Feature (linguistics); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008973356,0.001104279,0.001419486,0.001720582,0.0007055051,0.001832201,0.004080968,0.00154041,0.004848922],"category_scores_gemma":[0.002126468,0.001116968,0.001661017,0.001461496,0.001059756,0.002800428,0.001899931,0.001797799,0.003621465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060169,"about_ca_system_score_gemma":0.00132409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006717152,"about_ca_topic_score_gemma":0.007099087,"domain_scores_codex":[0.9986482,0.0001193649,0.00006280484,0.0005021487,0.000563331,0.0001040803],"domain_scores_gemma":[0.9994041,0.0001061844,0.00005731283,0.0001990135,0.0001976204,0.00003579359],"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":[0.0001459344,0.0001347859,0.0008121912,0.0005000907,0.0001869216,0.0002807579,0.0001857489,0.1243948,0.07509093,0.1118429,0.009897958,0.676527],"study_design_scores_gemma":[0.00003342043,0.0001119906,0.0007092267,0.00006417373,0.00004855442,0.0007627301,0.00004741745,0.8873045,0.02367919,0.05135077,0.03579824,0.00008968531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001731383,0.00005402703,0.9992422,0.00001466885,0.00001080696,0.00001408475,0.00001883377,0.0003079206,0.0001643915],"genre_scores_gemma":[0.01994582,0.0002898221,0.9775441,0.00008866716,0.00004928589,0.0001212609,0.0001773655,0.0001506428,0.001633114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006717152,"threshold_uncertainty_score":0.01622128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122097822629254,"score_gpt":0.2519205511609703,"score_spread":0.2206995729346778,"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."}}