{"id":"W2169085443","doi":"10.1109/icpr.2000.905315","title":"A point-based approach to the interposition problem in augmented reality","year":2002,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Augmented reality; Embedding; Computer vision; Vertex (graph theory); Computer science; Virtual reality; Object (grammar); Artificial intelligence; Point (geometry); Stereoscopy; Set (abstract data type); Matching (statistics); 3D reconstruction; Computer graphics (images); Mathematics; Theoretical computer science; Graph; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00156341,0.001080678,0.001497565,0.001865429,0.001262904,0.003095577,0.003549185,0.002925445,0.004342176],"category_scores_gemma":[0.003524321,0.00112378,0.001645454,0.002124105,0.00225538,0.004570581,0.005074776,0.003308255,0.001506164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005734521,"about_ca_system_score_gemma":0.0007574376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190097,"about_ca_topic_score_gemma":0.0008963712,"domain_scores_codex":[0.9974578,0.000687007,0.0001143815,0.0003949452,0.001216508,0.0001293173],"domain_scores_gemma":[0.9982963,0.0007336932,0.0001272044,0.000425529,0.0003504217,0.00006683286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001887056,0.00009540859,0.0004807006,0.0005358242,0.0001875388,0.0005634986,0.0006835065,0.1887592,0.01820583,0.3998139,0.005258888,0.385227],"study_design_scores_gemma":[0.00005143171,0.0001873929,0.0002771824,0.00008496291,0.00007459373,0.0009300615,0.0001834698,0.7155217,0.01060567,0.2443536,0.02761031,0.0001197874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000748482,0.0001966493,0.9981093,0.00005492264,0.0000291914,0.00001397039,0.00001107611,0.0001072108,0.0007291408],"genre_scores_gemma":[0.05072132,0.000817035,0.9458775,0.00006511473,0.0001214872,0.0001022855,0.00008913593,0.0000817197,0.002124435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004342176,"threshold_uncertainty_score":0.01452601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435601306714937,"score_gpt":0.2509619792714325,"score_spread":0.2166059662042831,"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."}}