{"id":"W2152299407","doi":"10.1109/robot.1993.292172","title":"Real-time line-based motion stereo","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Pyramid (geometry); Line (geometry); Matching (statistics); Motion (physics); Hough transform; Computer graphics (images); Stereo cameras; Stereopsis; Image (mathematics); 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":[0.0003344855,0.000310279,0.0003577363,0.0007609951,0.0002269406,0.0004746416,0.0007852771,0.0004308172,0.009273453],"category_scores_gemma":[0.0005532217,0.0002269806,0.0001851154,0.0006695961,0.0001949073,0.0006654885,0.0005329039,0.0003356778,0.002145101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004372573,"about_ca_system_score_gemma":0.0003701946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133985,"about_ca_topic_score_gemma":0.003237165,"domain_scores_codex":[0.9996405,0.00002752077,0.000009083717,0.00005781734,0.0002283234,0.0000368058],"domain_scores_gemma":[0.9996881,0.00005018614,0.00002305028,0.0000722125,0.0001370328,0.00002948409],"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":[0.0002991748,0.00008993048,0.0006894864,0.0001178857,0.00003026326,0.0001036056,0.00009966053,0.01014725,0.30248,0.004692341,0.01594699,0.6653033],"study_design_scores_gemma":[0.0001369796,0.0004773001,0.005996502,0.00002718494,0.0000408215,0.0009248584,0.00007009133,0.6644056,0.2587593,0.004233146,0.06484838,0.00007990426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02307523,0.0001448015,0.9576877,0.0001048893,0.0000729543,0.00008843783,0.0006007588,0.01118699,0.007038286],"genre_scores_gemma":[0.2451195,0.0001082295,0.7464678,0.0001365245,0.00005203367,0.00009733192,0.0009408335,0.0003216562,0.006756075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009273453,"threshold_uncertainty_score":0.03102273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520116863938673,"score_gpt":0.2645876052812073,"score_spread":0.2393864366418205,"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."}}