{"id":"W2062714280","doi":"10.1145/2787626.2792640","title":"Continuous and automatic registration of live RGBD video streams with partial overlapping views","year":2015,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Computer vision; Calibration; Artificial intelligence; Communication source; Point cloud; Point (geometry); Computer graphics (images)","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":[0.0007800366,0.0009321301,0.0009715179,0.002449291,0.0003857818,0.001184386,0.001520563,0.0007434757,0.001889013],"category_scores_gemma":[0.003183117,0.0006701758,0.0007781471,0.002182093,0.0005674352,0.001883546,0.00179753,0.001227939,0.001632696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356344,"about_ca_system_score_gemma":0.0006552631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061034,"about_ca_topic_score_gemma":0.001653238,"domain_scores_codex":[0.9979306,0.0002403601,0.0001137976,0.0005566999,0.00101536,0.0001431173],"domain_scores_gemma":[0.9985526,0.0002083869,0.0002417114,0.000503352,0.0004278689,0.00006606534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005958572,0.0001627519,0.001900073,0.0002601437,0.0001003246,0.0002887454,0.0004411585,0.01215977,0.2047614,0.003982785,0.003636474,0.7717106],"study_design_scores_gemma":[0.00009062928,0.0004507973,0.01238567,0.00008895513,0.0001001315,0.002114882,0.0005441726,0.6087553,0.3390944,0.006338444,0.02987928,0.0001574285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01495398,0.0002309994,0.9817926,0.00004146041,0.00007635917,0.00009005997,0.0001375991,0.001744053,0.0009328682],"genre_scores_gemma":[0.1853815,0.0004651427,0.8100646,0.0000609602,0.0001276237,0.0001686354,0.0009654314,0.0004999344,0.002266147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002449291,"threshold_uncertainty_score":0.006319404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094633048991105,"score_gpt":0.2172428604205915,"score_spread":0.1962965299306805,"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."}}