{"id":"W2135803715","doi":"10.1109/imtc.2008.4547013","title":"Iterative Computation of Camera Paths","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bundle adjustment; Reprojection error; Computer vision; Artificial intelligence; Computation; Path (computing); Computer science; Process (computing); Iterative method; Algorithm; Invariant (physics); Image (mathematics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007597976,0.00116855,0.001024419,0.001516761,0.0008147225,0.001059742,0.001418548,0.001109604,0.003844841],"category_scores_gemma":[0.003954188,0.00098298,0.0009315885,0.000882386,0.0007849722,0.001858298,0.001585474,0.001437111,0.001100724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009830166,"about_ca_system_score_gemma":0.001534676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003930997,"about_ca_topic_score_gemma":0.004852978,"domain_scores_codex":[0.999175,0.0001298277,0.00003732198,0.000194104,0.0003928261,0.00007095488],"domain_scores_gemma":[0.9987078,0.000501366,0.0001364283,0.0001770033,0.0004118457,0.00006562426],"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":[0.0002072421,0.00006209027,0.001618045,0.0002198235,0.000138687,0.0002718971,0.0005461577,0.4234966,0.03255072,0.04846291,0.003282347,0.4891435],"study_design_scores_gemma":[0.00002593607,0.00007100233,0.0003359786,0.00002522506,0.00001698781,0.0001780264,0.00004842239,0.9650224,0.009050269,0.01732581,0.007866937,0.00003297896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003791007,0.0000663779,0.995063,0.00001879785,0.00001497791,0.00002729826,0.00001536497,0.0003936764,0.0006094647],"genre_scores_gemma":[0.06211836,0.0001171807,0.9359798,0.00002191474,0.00001383398,0.00008838451,0.0001239143,0.0001981802,0.001338278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003930997,"threshold_uncertainty_score":0.01286221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217554023299762,"score_gpt":0.2898786089605503,"score_spread":0.2681232066305742,"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."}}