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2021 ◽  
Author(s):  
Weihan Li ◽  
Cunle Qian ◽  
Yu Qi ◽  
Yiwen Wang ◽  
Yueming Wang ◽  
...  

2021 ◽  
Author(s):  
Bingren CHEN ◽  
Jinlong LI ◽  
Qian ZHAO ◽  
Xiaorong GAO ◽  
Lin LUO

2021 ◽  
pp. 101120
Author(s):  
Cheng Zhang ◽  
Hao Chen ◽  
Haocheng Wan ◽  
Ping Yang ◽  
Zizhao Wu
Keyword(s):  

2021 ◽  
Author(s):  
Zhenqi Wei ◽  
Fei Wang ◽  
Jiaqi Fan ◽  
Bingzhao Gao

2021 ◽  
Vol 10 (11) ◽  
pp. 737
Author(s):  
Ting On Chan ◽  
Hang Xiao ◽  
Lixin Liu ◽  
Yeran Sun ◽  
Tingting Chen ◽  
...  

The 3D laser scanning technique is important for cultural heritage documentation. The laser itself normally does not carry any color information, so it usually requires an embedded camera system to colorize the point cloud. However, when the embedded camera system fails to perform properly under some external interferences, a post-scan colorization method is always desired to improve the point cloud visuality. This paper presents a simple but efficient point cloud colorization method based on a point-to-pixel orthogonal projection under an assumption that the orthogonal and perspective projections can produce similar effects for a planar feature as long as the target-to-camera distance is relatively short (within several meters). This assumption was verified by a simulation experiment, and the results show that only approximately 5% of colorization error was found at a target-to-camera distance of 3 m. The method was further verified with two real datasets collected for the cultural heritage documentation. The results showed that the visuality of the point clouds for two giant historical buildings had been greatly improved after applying the proposed method.


2021 ◽  
Author(s):  
Yujun Lin ◽  
Zhekai Zhang ◽  
Haotian Tang ◽  
Hanrui Wang ◽  
Song Han
Keyword(s):  

2021 ◽  
Author(s):  
Shyam A. Tailor ◽  
Rene de Jong ◽  
Tiago Azevedo ◽  
Matthew Mattina ◽  
Partha Maji

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