{"id":"W2321395051","doi":"10.2312/egs.20041001","title":"A Quick and Automatic Image Based Modeling and Rendering System","year":2004,"lang":"en","type":"article","venue":"Eurographics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Visual hull; Silhouette; Computer vision; Rendering (computer graphics); Computer science; Artificial intelligence; Computer graphics (images); Texture mapping; Image-based modeling and rendering; Image texture; Image (mathematics); Image processing","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":[0.0006453493,0.001330906,0.00142223,0.001178908,0.0006497722,0.001944363,0.003018229,0.001200373,0.02202983],"category_scores_gemma":[0.001250498,0.0009912736,0.0009385112,0.0006894325,0.0004202448,0.001329539,0.00177407,0.001475987,0.01310634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006833373,"about_ca_system_score_gemma":0.001239815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444952,"about_ca_topic_score_gemma":0.002249,"domain_scores_codex":[0.9989877,0.00006571958,0.00004484371,0.0001868946,0.0006436691,0.0000710956],"domain_scores_gemma":[0.9991457,0.0001031444,0.00004335844,0.0003722011,0.0002510159,0.00008457945],"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":[0.0004187827,0.0001964385,0.0007150749,0.0001707561,0.00007364217,0.0002241043,0.0002041339,0.02173823,0.3266736,0.007683462,0.04650098,0.5954008],"study_design_scores_gemma":[0.0001906665,0.0002972092,0.00177638,0.00004818294,0.0001150902,0.0007977654,0.00006704139,0.607976,0.2089399,0.008186528,0.1713603,0.0002450727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002213841,0.00006278464,0.956824,0.00005599743,0.0000560299,0.0001137895,0.0003384326,0.03769762,0.002637588],"genre_scores_gemma":[0.06798082,0.0002336147,0.9040719,0.0002317054,0.0001106451,0.0004850909,0.002939397,0.00796362,0.01598321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02202983,"threshold_uncertainty_score":0.07369709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466255072732167,"score_gpt":0.2485984049348158,"score_spread":0.2339358542074942,"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."}}