{"id":"W2029577819","doi":"10.1117/12.389344","title":"<title>Image-based view synthesis for enhanced perception in teleoperation</title>","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Augmented reality; Teleoperation; Computer vision; Computer science; Rendering (computer graphics); Artificial intelligence; Triangulation; Merge (version control); View synthesis; Affine transformation; Robot; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002738971,0.0001513215,0.0001957143,0.0000744497,0.00005045677,0.00009494997,0.0005694711,0.00007596704,0.0001895281],"category_scores_gemma":[0.0002449476,0.0001304965,0.0002384721,0.0002261838,0.0000655086,0.0004649677,0.00004395921,0.0001146955,0.00002944014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009606475,"about_ca_system_score_gemma":0.00002849727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.721418e-7,"about_ca_topic_score_gemma":5.969716e-8,"domain_scores_codex":[0.9989086,2.04973e-8,0.0003231454,0.0002630528,0.0002956539,0.0002094837],"domain_scores_gemma":[0.9992337,0.00008773882,0.00009538057,0.00005223373,0.0004797345,0.00005122771],"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":[0.00002838734,0.00009740944,0.00001075149,0.0002444749,0.00004960438,6.58485e-8,0.0001280875,0.0001532926,0.6607455,0.2738796,0.008045017,0.05661788],"study_design_scores_gemma":[0.001169271,0.000208087,0.0005024209,0.0006605342,0.00005710136,0.000007571731,0.0001566765,0.71294,0.1696371,0.003040076,0.1110166,0.0006045388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9209402,0.0001729412,0.02449514,0.004151592,0.0003612737,0.0008116542,0.00002683729,0.000196794,0.04884353],"genre_scores_gemma":[0.1796494,0.0002107012,0.8177006,0.000347056,0.0003003002,0.0002275806,0.000006209783,0.0000473727,0.001510832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7932054,"threshold_uncertainty_score":0.5321493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009497232325894295,"score_gpt":0.2418389409243499,"score_spread":0.2323417085984556,"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."}}