{"id":"W2921252881","doi":"10.1145/3290605.3300594","title":"Look-From Camera Control for 3D Terrain Maps","year":2019,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zoom; Computer science; Computer vision; Computer graphics (images); Artificial intelligence; Complement (music); Terrain; Sight; Perspective (graphical); Human–computer interaction; Engineering; Cartography; Geography","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":[0.0002035345,0.0006319844,0.0002898677,0.0002756336,0.0002577195,0.0007384786,0.0008356717,0.0004822492,0.007180919],"category_scores_gemma":[0.001176119,0.0002563366,0.000356389,0.0001586185,0.000508843,0.001018253,0.001340316,0.0005896512,0.0007017092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642456,"about_ca_system_score_gemma":0.0001707935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007519894,"about_ca_topic_score_gemma":0.001439126,"domain_scores_codex":[0.9996923,0.00006279919,0.00001058714,0.00004943627,0.0001445158,0.00004025792],"domain_scores_gemma":[0.9993462,0.0002974397,0.00006124881,0.0001423213,0.00007176504,0.0000811151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006139421,0.00019436,0.002024464,0.0007274061,0.00007576637,0.0009392619,0.003226642,0.009848813,0.62537,0.01763112,0.005596987,0.3337513],"study_design_scores_gemma":[0.0003097669,0.00201995,0.02204702,0.0004341065,0.0002087675,0.00485701,0.001781501,0.2581542,0.5024651,0.02243572,0.1847868,0.0005000525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06006405,0.0004185411,0.9251381,0.0001229413,0.00006114507,0.0001179104,0.000120273,0.004384626,0.009572461],"genre_scores_gemma":[0.6753494,0.0003831748,0.3171886,0.000162904,0.00003930413,0.0002228949,0.0001543486,0.0005372487,0.005962159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007180919,"threshold_uncertainty_score":0.02402258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0051422496702446,"score_gpt":0.1868067580428423,"score_spread":0.1816645083725977,"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."}}