{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004449949,0.0001557106,0.0001430644,0.0002121111,0.0001695234,0.00004848597,0.0001341943,0.00006166469,0.00002517279],"category_scores_gemma":[0.000001600824,0.000140433,0.0001259191,0.000326706,0.00004102863,0.0001248524,0.000001809327,0.0003180242,0.0000131189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002661975,"about_ca_system_score_gemma":0.000005038023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008582776,"about_ca_topic_score_gemma":0.0002937357,"domain_scores_codex":[0.9992874,0.0000183368,0.0001670335,0.0001673032,0.0001662314,0.0001936649],"domain_scores_gemma":[0.9995664,0.00007257474,0.0000203918,0.0002576858,0.00003593049,0.0000469702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006523913,0.0001020126,0.0002483026,0.00002577883,0.0003004416,0.0000190777,0.0001621863,0.9910261,0.002424715,0.0002663257,0.0001046184,0.005255211],"study_design_scores_gemma":[0.00162461,0.0002958677,0.001061841,0.0002902531,0.0006832257,0.00005465715,0.0004730712,0.9602357,0.02910492,0.004210731,0.0008449521,0.00112017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743697,0.00003390679,0.824419,0.0001603468,0.00009199781,0.00004618314,0.00003003814,0.0002775306,0.000571332],"genre_scores_gemma":[0.99562,0.00002440356,0.004143502,0.0000333782,0.00005344041,0.00001550357,0.0000339341,0.00003425803,0.00004164464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8212502,"threshold_uncertainty_score":0.572669,"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."}}