{"id":"W1502274547","doi":"","title":"FPGA based stereo vision system to show video of dense disparity map","year":2012,"lang":"en","type":"article","venue":"Society of Instrument and Control Engineers of Japan","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Computer stereo vision; Field-programmable gate array; Video Graphics Array; Raster scan; Computer graphics (images); Matching (statistics); Stereopsis; Tone mapping; High dynamic range; Mathematics; Computer hardware; Dynamic range","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":[0.0003538547,0.0001377851,0.0003417675,0.00005546974,0.00004157096,0.00001578904,0.0002585299,0.00004914107,0.00000314068],"category_scores_gemma":[0.00001562733,0.0001220078,0.0001704003,0.0001427591,0.0000580808,0.0003653996,0.00008847463,0.00007558002,0.000001091012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003544186,"about_ca_system_score_gemma":0.00002173678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001775582,"about_ca_topic_score_gemma":4.400883e-7,"domain_scores_codex":[0.9989479,0.00002577785,0.0003352705,0.0001706749,0.0002769858,0.0002434373],"domain_scores_gemma":[0.9992225,0.00007962683,0.0001613195,0.0002957561,0.00008694369,0.0001538312],"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":[0.000354073,0.000932836,0.06646335,0.003865806,0.0005772377,6.549359e-7,0.01541844,0.006111114,0.1718044,0.01415128,0.003578487,0.7167423],"study_design_scores_gemma":[0.004500563,0.0004870781,0.01841349,0.0008105696,0.00005132812,0.000003033771,0.00317924,0.9342205,0.03692866,0.00004541644,0.0009568403,0.0004033072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3369033,0.0005137427,0.6611807,0.0008242106,0.0002218021,0.0002428217,0.00001005199,0.00004320985,0.00006010102],"genre_scores_gemma":[0.943695,0.000009953831,0.05604873,0.0001973125,0.00002230504,0.000005623243,0.000001032767,0.000006652983,0.00001336285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9281093,"threshold_uncertainty_score":0.4975332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006589162796740412,"score_gpt":0.2229175159825638,"score_spread":0.2163283531858234,"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."}}