{"id":"W2073683511","doi":"10.1109/crv.2014.58","title":"3D Reconstruction by Fusioning Shadow and Silhouette Information","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Silhouette; Computer vision; Shadow (psychology); Visual hull; Artificial intelligence; Computer science; Object (grammar); Iterative reconstruction; Computer graphics (images)","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":[0.0001121243,0.00004596738,0.00004513315,0.00004761431,0.0001064871,0.0001373691,0.00009620848,0.0000159209,0.00001919672],"category_scores_gemma":[0.00003535425,0.00003884778,0.000007870389,0.00008750849,0.00001592327,0.002252839,0.0000817323,0.00004813379,0.00003918354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007053599,"about_ca_system_score_gemma":0.000003953028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000767968,"about_ca_topic_score_gemma":6.62024e-7,"domain_scores_codex":[0.999626,0.00001330871,0.0001044036,0.0000924841,0.00007716314,0.00008667038],"domain_scores_gemma":[0.9997479,0.00002088553,0.00004268725,0.0001196017,0.00002802345,0.00004087234],"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":[3.861119e-7,0.000001062147,0.0002152347,0.000001763191,4.237635e-7,2.152191e-8,0.00008460176,0.000006911906,0.0008180144,0.006318107,0.001035333,0.9915181],"study_design_scores_gemma":[0.0002206356,0.0000213339,0.0007228993,0.00001442942,7.189403e-7,0.00002774636,0.00004256346,0.9376304,0.001676172,0.002419586,0.0571219,0.0001016228],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002992824,0.00001349564,0.9722809,0.0007092411,0.0001815787,0.00003190312,1.465248e-7,0.0001211786,0.0236687],"genre_scores_gemma":[0.4032442,0.00002743701,0.592814,0.003481874,0.00002952655,0.000002634537,0.000002521626,0.000002932175,0.0003949087],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9914165,"threshold_uncertainty_score":0.1633254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002413726983399667,"score_gpt":0.1928124998767579,"score_spread":0.1903987728933582,"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."}}