Semantic Segmentation for 3D Point Clouds with 2D Dense Convolutional Networks

碩士 === 國立清華大學 === 資訊系統與應用研究所 === 107 === With the rapid development of deep neural networks in recent years, a few methods have been proposed to tackle the semantic segmentation problem for 3D point clouds. However, previous approaches either did not explore the spatial layout of objects in the scen...

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Bibliographic Details
Main Authors: Chang, Hai-Yang, 常海陽
Other Authors: Lai, Shang-Hong
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/qju4p2