{"id":"W4298316881","doi":"","title":"Motion Estimation by Decoupling Rotation and Translation in Catadioptric Vision","year":2010,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Catadioptric system; Decoupling (probability); Computer vision; Translation (biology); Artificial intelligence; Rotation (mathematics); Motion estimation; Computer science; Estimation; Optics; Engineering; Physics; Control engineering","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":[0.00231629,0.0001240242,0.0001158409,0.0002196107,0.000218452,0.0002974208,0.0003668271,0.00007583659,0.00001115539],"category_scores_gemma":[0.0005702373,0.000135241,0.00002969838,0.0005823938,0.00005972685,0.001225316,0.00009789776,0.0002487522,0.00001056917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003296998,"about_ca_system_score_gemma":0.00003255028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504514,"about_ca_topic_score_gemma":0.0003597129,"domain_scores_codex":[0.9983559,0.0005203601,0.0002970143,0.0004188366,0.0002250152,0.0001828691],"domain_scores_gemma":[0.9982522,0.0005919982,0.0001569434,0.0005583243,0.0003501872,0.00009032548],"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":[0.000002059338,0.00009647929,0.00130486,0.00001154594,0.000001490396,5.060364e-7,0.002434682,0.0001375689,0.04120412,0.01760234,0.00003646359,0.9371679],"study_design_scores_gemma":[0.0004648798,3.838024e-7,0.008099624,0.0001176511,0.000002584028,0.000007326614,0.00002627988,0.9505849,0.03667662,0.003081192,0.0007928181,0.0001457663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1382401,0.0002046509,0.8561299,0.003866018,0.00008125088,0.0001675934,0.000001680114,0.0001157073,0.001193051],"genre_scores_gemma":[0.6749852,0.00006698873,0.3247097,0.00004033178,0.000003445712,0.00001031178,0.00004517842,0.000008164794,0.0001307431],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9504473,"threshold_uncertainty_score":0.5514969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007326351981037263,"score_gpt":0.2444545426335568,"score_spread":0.2371281906525195,"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."}}