Comparison of 2D image models in segmentation performance for 3D laser point clouds

Neurocomputing

Volumn 251, Issue , 2017, Pages 136-144

  Liu, Yisha ^a   Wang, Fei ^b   Dobaie, Abdullah M ^c   He, Guojian ^b   Zhuang, Yan ^b  

^a DALIAN MARITIME UNIVERSITY   (China)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

2D image model; 3D point clouds; 3D scene segmentation; Laser scanning

Indexed keywords

LASER APPLICATIONS; SURFACE ANALYSIS;

2D IMAGES; 3D POINT CLOUD; 3D SCENES; LASER SCANNING; LOSS OF ACCURACY; SCENE SEGMENTATION; SCENE UNDERSTANDING; SEGMENTATION PERFORMANCE;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; CONTROLLED STUDY; FAST OPTIMAL BEARING ANGLE IMAGE; IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGING AND DISPLAY; LIMIT OF QUANTITATION; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; PRIORITY JOURNAL; THREE DIMENSIONAL LASER POINT CLOUD; THREE DIMENSIONAL SIMPLE LINEAR ITERATIVE CLUSTERING ALGORITHM;

EID: 85018904016     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2017.04.030     Document Type: Article

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