Xu Han1, #, Huijun Yang1, 4, *, Qiufeng Shen1, #, Jiangtao Yang2, Huihui Liang1, Cancan Bao1, Shuang Cang3
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 579-596, 2020, DOI:10.32604/cmc.2020.011262
Abstract Although predecessors have made great contributions to the semantic
segmentation of 3D indoor scenes, there still exist some challenges in the debris
recognition of terrain data. Compared with hundreds of thousands of indoor point clouds,
the amount of terrain point cloud is up to millions. Apart from that, terrain point cloud
data obtained from remote sensing is measured in meters, but the indoor scene is
measured in centimeters. In this case, the terrain debris obtained from remote sensing
mapping only have dozens of points, which means that sufficient training information
cannot be obtained only through the convolution of points. In… More >
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