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Technical Note

A Practical 3D Reconstruction Method for Weak Texture Scenes

by and *,†
School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Riccardo Roncella and Mattia Previtali
Remote Sens. 2021, 13(16), 3103; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13163103
Received: 9 July 2021 / Revised: 2 August 2021 / Accepted: 3 August 2021 / Published: 6 August 2021
In recent years, there has been a growing demand for 3D reconstructions of tunnel pits, underground pipe networks, and building interiors. For such scenarios, weak textures, repeated textures, or even no textures are common. To reconstruct these scenes, we propose covering the lighting sources with films of spark patterns to “add” textures to the scenes. We use a calibrated camera to take pictures from multiple views and then utilize structure from motion (SFM) and multi-view stereo (MVS) algorithms to carry out a high-precision 3D reconstruction. To improve the effectiveness of our reconstruction, we combine deep learning algorithms with traditional methods to extract and match feature points. Our experiments have verified the feasibility and efficiency of the proposed method. View Full-Text
Keywords: weak texture; lighting source; spark pattern; 3D reconstruction weak texture; lighting source; spark pattern; 3D reconstruction
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MDPI and ACS Style

Yang, X.; Jiang, G. A Practical 3D Reconstruction Method for Weak Texture Scenes. Remote Sens. 2021, 13, 3103. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13163103

AMA Style

Yang X, Jiang G. A Practical 3D Reconstruction Method for Weak Texture Scenes. Remote Sensing. 2021; 13(16):3103. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13163103

Chicago/Turabian Style

Yang, Xuyuan, and Guang Jiang. 2021. "A Practical 3D Reconstruction Method for Weak Texture Scenes" Remote Sensing 13, no. 16: 3103. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13163103

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