{"id":"W4237309576","doi":"10.5594/m001385","title":"A Non-Conventional Approach to the Conversion of 2D Video and Film Content to Stereoscopic 3D","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Stereoscopy; Computer vision; Artificial intelligence; 2D to 3D conversion; Projection (relational algebra); Task (project management); Realization (probability); Depth map; Exploit; Computer graphics (images); Image (mathematics); Mathematics; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003408289,0.0003923828,0.0002588562,0.0009612239,0.000263701,0.0008311357,0.0008647598,0.0004717188,0.007718684],"category_scores_gemma":[0.001138123,0.0003919919,0.0004063305,0.0006209755,0.0005192917,0.0006141988,0.0008332843,0.0009627471,0.001884432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002840764,"about_ca_system_score_gemma":0.0004026856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006631681,"about_ca_topic_score_gemma":0.001520374,"domain_scores_codex":[0.9994325,0.00005800057,0.00002073098,0.0001203391,0.0003383603,0.00003006291],"domain_scores_gemma":[0.999405,0.0001387324,0.00003148019,0.0002281643,0.0001652563,0.00003132459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001803785,0.0001331967,0.0006566136,0.0004770927,0.00003816729,0.0002521581,0.0002290191,0.002324773,0.5928115,0.008905113,0.003962938,0.3900291],"study_design_scores_gemma":[0.0000802233,0.001014637,0.008596254,0.0001174522,0.00008817733,0.006559004,0.0002365275,0.07036622,0.7815456,0.004439016,0.1267637,0.0001932435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01686665,0.0003168191,0.9725759,0.0001466162,0.0001458083,0.0003018451,0.0002616959,0.001527336,0.007857425],"genre_scores_gemma":[0.08474477,0.0003768982,0.9068833,0.0001145436,0.00005169522,0.0001705858,0.000293824,0.0001685914,0.007195764],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007718684,"threshold_uncertainty_score":0.02582157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352599350876692,"score_gpt":0.2603168809978975,"score_spread":0.2367908874891305,"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."}}