Fast and Automatic Reconstruction of Semantically Rich 3D Indoor Maps from Low-quality RGB-D Sequences

Fast and Automatic Reconstruction of Semantically Rich 3D Indoor Maps from Low-quality RGB-D Sequences

Semantically rich indoor models are increasingly used throughout a facility’s life cycle for different applications. With the decreasing price of 3D sensors, it is convenient to acquire point cloud data from consumer-level scanners. However, most existing methods in 3D indoor reconstructio...

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Bibliographic Details
Main Authors: Shengjun Tang, Yunjie Zhang, You Li, Zhilu Yuan, Yankun Wang, Xiang Zhang, Xiaoming Li, Yeting Zhang, Renzhong Guo, Weixi Wang
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
mobile mapping
indoor reconstruction
geometric computation
point cloud
space partition
Online Access:https://www.mdpi.com/1424-8220/19/3/533

Internet

https://www.mdpi.com/1424-8220/19/3/533

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