Repeated Structure Detection for 3D Reconstruction of Building Façade from Mobile Lidar Data

2019 ◽  
Vol 85 (2) ◽  
pp. 93-108 ◽  
Author(s):  
Yanming Chen ◽  
Xiaoqiang Liu ◽  
Mengru Yao ◽  
Shulin Deng ◽  
Feixue Li ◽  
...  
2007 ◽  
Author(s):  
Guoning Zhang ◽  
Jixian Zhang ◽  
Jie Yu ◽  
Haiquan Yang ◽  
Ming Tan
Keyword(s):  

2020 ◽  
Vol 6 ◽  
pp. 1033-1043
Author(s):  
Quentin Legros ◽  
Sylvain Meignen ◽  
Stephen McLaughlin ◽  
Yoann Altmann

2015 ◽  
Vol 36 (21) ◽  
pp. 5485-5503 ◽  
Author(s):  
M. Bueno Esposito ◽  
L. Díaz-Vilariño ◽  
J. Martínez-Sánchez ◽  
H. González -Jorge ◽  
P. Arias

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Julián Tachella ◽  
Yoann Altmann ◽  
Nicolas Mellado ◽  
Aongus McCarthy ◽  
Rachael Tobin ◽  
...  

Abstract Single-photon lidar has emerged as a prime candidate technology for depth imaging through challenging environments. Until now, a major limitation has been the significant amount of time required for the analysis of the recorded data. Here we show a new computational framework for real-time three-dimensional (3D) scene reconstruction from single-photon data. By combining statistical models with highly scalable computational tools from the computer graphics community, we demonstrate 3D reconstruction of complex outdoor scenes with processing times of the order of 20 ms, where the lidar data was acquired in broad daylight from distances up to 320 metres. The proposed method can handle an unknown number of surfaces in each pixel, allowing for target detection and imaging through cluttered scenes. This enables robust, real-time target reconstruction of complex moving scenes, paving the way for single-photon lidar at video rates for practical 3D imaging applications.


2017 ◽  
Vol 38 (5) ◽  
pp. 1451-1482 ◽  
Author(s):  
Parham Pahlavani ◽  
Hamed Amini Amirkolaee ◽  
Behnaz Bigdeli
Keyword(s):  

Author(s):  
Wang Xiangyu ◽  
Xie Donghui ◽  
Yan Guangjian ◽  
Zhang Wuming ◽  
Wang Yan ◽  
...  

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