{"id":"W2102402541","doi":"10.1109/iccv.2009.5459471","title":"Shape-based recognition of 3D point clouds in urban environments","year":2009,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":427,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency","keywords":"Point cloud; Computer science; Artificial intelligence; Shape context; Cluster analysis; Pattern recognition (psychology); Feature vector; Computer vision; Point of interest; Point (geometry); Classifier (UML); Feature (linguistics); Set (abstract data type); Segmentation; Graph; Mathematics; Theoretical computer science; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274992217208531,"score_gpt":0.219184987640997,"score_spread":0.2064350654689117,"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."}}