{"id":"W2360103243","doi":"","title":"An Algorithm for Fast Creating Panoramic Image and Its Implementation","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image stitching; Computer science; Computer vision; Artificial intelligence; Rendering (computer graphics); Image (mathematics); Algorithm; Template matching; Similarity (geometry); Image processing; Computer graphics (images)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005156364,0.0008735374,0.0006765134,0.001551911,0.0007268012,0.00107171,0.001241861,0.0008746939,0.008656159],"category_scores_gemma":[0.0009944282,0.0006418512,0.0005982071,0.00133848,0.0004621152,0.001518131,0.0008237848,0.001079507,0.00384504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674398,"about_ca_system_score_gemma":0.0007633755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225476,"about_ca_topic_score_gemma":0.001329735,"domain_scores_codex":[0.9995244,0.00003993716,0.00003772228,0.0001105237,0.0002488564,0.00003848301],"domain_scores_gemma":[0.9996606,0.00004937774,0.0000234909,0.0000630178,0.0001794631,0.00002409526],"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":[0.0001078224,0.00004841117,0.0003282361,0.000230275,0.00003827353,0.0001147183,0.0001513775,0.005346878,0.08109202,0.01487301,0.008088063,0.8895811],"study_design_scores_gemma":[0.0001820246,0.000619961,0.002986805,0.0001177744,0.0001374845,0.004097088,0.0002688934,0.4246908,0.3057012,0.02369112,0.2372423,0.0002644862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001145881,0.0001861887,0.9953684,0.0000400023,0.00006215823,0.0000736056,0.00003186106,0.001838571,0.00125341],"genre_scores_gemma":[0.0137599,0.0002156005,0.9835393,0.00003143814,0.00003132008,0.0001391679,0.0001320017,0.0001298264,0.002021396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008656159,"threshold_uncertainty_score":0.02895778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007058526130274016,"score_gpt":0.3104232817957878,"score_spread":0.3033647556655138,"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."}}