{"id":"W4237953099","doi":"10.22215/etd/2010-09579","title":"Image registration under arbitrarily-shaped local illumination variations","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer graphics (images); Cartography; Computer science; Art; Geography; Humanities; Artificial intelligence","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":[0.0006932849,0.0006709868,0.0006390276,0.0005731554,0.0003092725,0.001217982,0.0007445219,0.0008428583,0.002141273],"category_scores_gemma":[0.003374177,0.0004142004,0.0007205437,0.000894262,0.0009472985,0.001216266,0.001438807,0.0009999598,0.001688107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004417014,"about_ca_system_score_gemma":0.0007002819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128839,"about_ca_topic_score_gemma":0.001899351,"domain_scores_codex":[0.9990579,0.0002218071,0.00004040232,0.0002743454,0.0003102604,0.00009531421],"domain_scores_gemma":[0.9991823,0.0001911835,0.0001070028,0.0003501443,0.0001317426,0.0000376759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008396391,0.0001225975,0.001254568,0.0002166456,0.0001428866,0.0004791699,0.0002965345,0.2361158,0.2960281,0.02647095,0.005619955,0.4324131],"study_design_scores_gemma":[0.00003681848,0.0001885193,0.002460608,0.00002599257,0.00005019879,0.0008520348,0.00008168623,0.7917801,0.1844149,0.01169239,0.008370052,0.0000467164],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04203387,0.0002160381,0.9520345,0.0001932951,0.00007830085,0.00006326402,0.00009964378,0.001171621,0.004109465],"genre_scores_gemma":[0.6023306,0.0008126461,0.3813264,0.0001227762,0.000135577,0.00009510825,0.0006947697,0.0008955806,0.01358664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002141273,"threshold_uncertainty_score":0.007163227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126439168257072,"score_gpt":0.2942511111654772,"score_spread":0.2829867194829065,"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."}}