{"id":"W2053126129","doi":"10.1145/1141911.1141930","title":"Interactive decal compositing with discrete exponential maps","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Exponential function; Computer science; Texture mapping; Image stitching; Geometry processing; Polygon (computer graphics); Surface (topology); Computer graphics (images); Rendering (computer graphics); Triangulation; Computer graphics; Algorithm; Computer vision; Mathematics; Artificial intelligence; Geometry; Mathematical analysis","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":[0.0003156529,0.000771727,0.0005513437,0.0007624315,0.0004847176,0.001159939,0.000973075,0.0004413067,0.01011469],"category_scores_gemma":[0.001613218,0.0004572514,0.0004389148,0.0005621291,0.0006886963,0.001197729,0.002223364,0.0008857576,0.001550746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003811391,"about_ca_system_score_gemma":0.000226413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006428328,"about_ca_topic_score_gemma":0.0009552217,"domain_scores_codex":[0.9996349,0.00003990692,0.00001946656,0.00005984766,0.0002068141,0.0000390932],"domain_scores_gemma":[0.9992025,0.0003416835,0.00004005068,0.0002572367,0.0001009684,0.00005755298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005525811,0.0001739847,0.0008783205,0.0003111585,0.00004138785,0.0007535765,0.0009075791,0.08058097,0.2604635,0.07601977,0.006460016,0.5728571],"study_design_scores_gemma":[0.00007636484,0.0001813047,0.0007696903,0.00004668997,0.00002612051,0.001139624,0.0002767234,0.6979275,0.1696087,0.03691765,0.09294216,0.00008752985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02659167,0.0001014607,0.9600695,0.00006545474,0.00007666153,0.00006533948,0.00005849681,0.003580471,0.009390953],"genre_scores_gemma":[0.3376756,0.0002573806,0.6424173,0.0000760176,0.00004405036,0.0001273882,0.0002234631,0.001808182,0.01737064],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01011469,"threshold_uncertainty_score":0.03383702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006623448983344701,"score_gpt":0.2047649884342159,"score_spread":0.1981415394508712,"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."}}