{"id":"W2056798562","doi":"10.1006/gmod.2001.0554","title":"A Silhouette-Based Algorithm for Texture Registration and Stitching","year":2001,"lang":"en","type":"article","venue":"Graphical Models","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Image stitching; Silhouette; Computer vision; Artificial intelligence; Computer science; Texture (cosmology); Position (finance); Process (computing); Texture mapping; Image (mathematics); Computer graphics (images); Image registration","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":[0.001005759,0.001243588,0.001467512,0.00275529,0.0008063149,0.001628804,0.002192107,0.001985869,0.00723337],"category_scores_gemma":[0.003701525,0.001178077,0.001127634,0.003306837,0.0008245521,0.00183267,0.001818524,0.002415148,0.004950919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781992,"about_ca_system_score_gemma":0.001245297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004038277,"about_ca_topic_score_gemma":0.006410973,"domain_scores_codex":[0.9987934,0.0001327409,0.0000566382,0.0002914099,0.0006396206,0.00008613265],"domain_scores_gemma":[0.9987149,0.0003358931,0.000105065,0.0003147837,0.0004404612,0.00008886006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002113413,0.00009749223,0.0002923358,0.0001204634,0.00007885823,0.00007825433,0.0001003383,0.03375473,0.06842484,0.007749776,0.005793053,0.8832985],"study_design_scores_gemma":[0.00004194411,0.0001111206,0.0006335226,0.00001849162,0.00004944209,0.0003124175,0.0000312592,0.9329462,0.04931034,0.006051966,0.01043157,0.00006166914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008728537,0.00003947124,0.997713,0.0000167013,0.00001994094,0.00002590985,0.00002631569,0.001098423,0.0001875138],"genre_scores_gemma":[0.02057896,0.0001453899,0.976532,0.00004651028,0.00003195678,0.00008663515,0.000273275,0.0004297277,0.001875612],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00723337,"threshold_uncertainty_score":0.02419806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582594386614879,"score_gpt":0.2139958481717614,"score_spread":0.1981699043056126,"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."}}