{"id":"W2069335039","doi":"10.1109/pacrim.2013.6625447","title":"Global motion estimation under translation-zoom ambiguity","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Zoom; Translation (biology); Computer science; Ambiguity; Motion estimation; Artificial intelligence; Computer vision; Segmentation; Motion (physics); Scale (ratio); Simple (philosophy); Algorithm; Pattern recognition (psychology)","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":[0.0004169392,0.0008327148,0.0007265,0.0006221282,0.0002257665,0.0003427462,0.0004369908,0.0006170063,0.0006224553],"category_scores_gemma":[0.002226467,0.0002867731,0.0002737344,0.0006284254,0.0004101002,0.001069629,0.0007074222,0.0005896338,0.0002678587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833713,"about_ca_system_score_gemma":0.0003500172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086895,"about_ca_topic_score_gemma":0.001564311,"domain_scores_codex":[0.9997309,0.00004861456,0.00001125541,0.00006862685,0.0001153113,0.00002530091],"domain_scores_gemma":[0.9996699,0.0001364261,0.00005876508,0.00005392736,0.00006539102,0.00001562655],"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":[0.0002469957,0.00003976922,0.001573906,0.0001887576,0.00008227496,0.0003115089,0.000218316,0.1768737,0.1717101,0.008666349,0.00225053,0.6378378],"study_design_scores_gemma":[0.00002933059,0.00009836249,0.003128278,0.00002681789,0.00002837839,0.0004809789,0.00005634606,0.9211189,0.06313846,0.007613437,0.00424379,0.00003703973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01815871,0.0002962667,0.9805917,0.00006236003,0.00001702161,0.00001567354,0.00002968001,0.0002938535,0.000534643],"genre_scores_gemma":[0.5132822,0.0008586494,0.4825188,0.0001242076,0.0000793053,0.00004681342,0.0002674972,0.0001544131,0.002668033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001086895,"threshold_uncertainty_score":0.002205014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231101288558524,"score_gpt":0.2963749101686902,"score_spread":0.2732647813128378,"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."}}