{"id":"W2054783248","doi":"10.1145/2414688.2414700","title":"Motion and velocity estimation of rolling shutter cameras","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Rolling shutter; Shutter; Computer vision; Artificial intelligence; Motion estimation; Computer science; Image sensor; CMOS sensor; Bundle adjustment; Motion (physics); Computer graphics (images); Object (grammar); Image (mathematics); Optics; Physics","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":[0.0001079997,0.00003086007,0.00004247935,0.00002908068,0.00002969652,0.00001509384,0.00005532408,0.000009602297,0.000008325422],"category_scores_gemma":[0.00001728385,0.00002554372,0.000008358546,0.00006504908,0.00001156395,0.0008132486,0.00004623047,0.00002522104,0.000007312844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000573244,"about_ca_system_score_gemma":0.000002163915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006103105,"about_ca_topic_score_gemma":1.205922e-7,"domain_scores_codex":[0.9997103,0.00000983363,0.00007178788,0.00006515656,0.00006547959,0.00007750048],"domain_scores_gemma":[0.9998142,0.00001853226,0.000028956,0.0000886917,0.0000180813,0.00003151293],"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":[7.469068e-7,0.00001924794,0.003979112,0.000007360848,0.000001606571,8.419345e-8,0.0005148188,0.000532655,0.00175326,0.01542343,0.00004768362,0.97772],"study_design_scores_gemma":[0.00007518191,0.000005341235,0.02579789,0.000005010649,8.815229e-7,0.000001991795,0.00001079343,0.9617882,0.0111564,0.001033209,0.00008681602,0.0000382483],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04901126,0.00005321989,0.9499378,0.0002275046,0.00006473703,0.00002425838,6.316198e-8,0.00003019843,0.0006509153],"genre_scores_gemma":[0.6569464,0.000002089212,0.3428854,0.0001365132,0.000008292767,3.767415e-7,1.314467e-7,9.117403e-7,0.00001987925],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9776818,"threshold_uncertainty_score":0.1041643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461299205705509,"score_gpt":0.2756604826833212,"score_spread":0.2610474906262661,"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."}}