{"id":"W4251959589","doi":"10.1109/vr.2004.1310080","title":"Projector-based dual-resolution stereoscopic display","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Stereoscopy; Image warping; Computer vision; Computer science; Artificial intelligence; Projector; Computer graphics (images); Rendering (computer graphics); Epipolar geometry; Image-based modeling and rendering; Image resolution; Process (computing); Stereo display; Image (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":[0.0001368118,0.0003952885,0.0003539774,0.0003979289,0.0001956264,0.0004386147,0.001194967,0.0004031517,0.00782518],"category_scores_gemma":[0.0004314267,0.0003222718,0.0002634447,0.000276111,0.0002463552,0.0005434222,0.001061402,0.0006720344,0.001724783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002610171,"about_ca_system_score_gemma":0.0002046936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008914856,"about_ca_topic_score_gemma":0.0009138249,"domain_scores_codex":[0.9997872,0.00002295008,0.000008463999,0.00004314218,0.0001135684,0.00002467035],"domain_scores_gemma":[0.9998099,0.00003451943,0.00001312972,0.0000478598,0.0000539713,0.0000405769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004512398,0.00008844194,0.0004621497,0.0001531075,0.00002703997,0.0004512987,0.0001293521,0.004755658,0.8480159,0.006217241,0.004983108,0.1342655],"study_design_scores_gemma":[0.0001993531,0.0005725314,0.004053415,0.00004187206,0.0000615335,0.003639046,0.00005843781,0.2121536,0.7376202,0.002662004,0.0387844,0.0001535785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1336289,0.0005050969,0.8401946,0.0002253272,0.0001123053,0.0001512574,0.000523934,0.00581903,0.01883948],"genre_scores_gemma":[0.4977693,0.000439386,0.4849408,0.0001717405,0.00005800584,0.0001382071,0.0004680495,0.0003838585,0.01563056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00782518,"threshold_uncertainty_score":0.02617776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111815172570564,"score_gpt":0.2354862491464184,"score_spread":0.224304731889362,"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."}}