{"id":"W4310153928","doi":"10.3390/s22239209","title":"3D Object Recognition Using Fast Overlapped Block Processing Technique","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computational complexity theory; Cognitive neuroscience of visual object recognition; Block (permutation group theory); Artificial intelligence; Benchmark (surveying); Object (grammar); Feature extraction; Support vector machine; 3D single-object recognition; Object detection; Computation; Noise (video); Feature (linguistics); Pattern recognition (psychology); Image processing; Computer vision; Image (mathematics); Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477288,0.0001194759,0.0001184691,0.0001687951,0.0004704073,0.0001136889,0.0003849949,0.00004284075,0.00003747149],"category_scores_gemma":[0.0000295431,0.0001249457,0.00005576025,0.0008197636,0.00003606583,0.0002415783,0.0002223949,0.0002367631,0.0000134475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476483,"about_ca_system_score_gemma":0.0001088894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002232019,"about_ca_topic_score_gemma":4.541976e-7,"domain_scores_codex":[0.9987494,0.0001341337,0.0002081807,0.0003447004,0.0003391346,0.0002245038],"domain_scores_gemma":[0.9993838,0.00002366475,0.0001485841,0.0002956746,0.000103374,0.0000449074],"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":[0.00003146372,0.0002352027,0.0001164797,0.00008524704,0.00001754252,0.00006643321,0.001434959,0.0003095756,0.3668116,0.0005750584,0.0002930107,0.6300234],"study_design_scores_gemma":[0.0002937437,0.0002143824,0.0002167281,0.00007069955,0.00001953686,0.0005961669,0.0004505289,0.3824739,0.6001108,0.00366028,0.01120316,0.0006900996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07964153,0.0001022069,0.9126122,0.0004388267,0.0002163061,0.0007168552,0.0000160292,0.00157152,0.004684513],"genre_scores_gemma":[0.8444843,0.000008058004,0.1547275,0.00022123,0.00005621618,0.00008451781,0.000007829146,0.00001968848,0.0003906199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7648428,"threshold_uncertainty_score":0.5095139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050720205497302,"score_gpt":0.2650796569095968,"score_spread":0.2345724548546237,"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."}}