Real-time surface reconstruction through HRBF networks

Author(s):  
N.A. Borghese ◽  
S. Ferrari ◽  
V. Piuri
2018 ◽  
Vol 14 (7) ◽  
pp. 155014771879085 ◽  
Author(s):  
Yundong Guo ◽  
Shu-Chuan Chu ◽  
Zhenyu Liu ◽  
Chan Qiu ◽  
Hao Luo ◽  
...  

Reconstruction and projection mapping enable us to bring virtual worlds into real spaces, which can give spectators an immersive augmented reality experience. Based on an interactive system with RGB-depth sensor and projector, we present a combined hardware and software solution for surface reconstruction and dynamic projection mapping in real time. In this article, a novel and adaptable calibration scheme is proposed, which is used to estimate approximate models to correct and transform raw depth data. Besides, our system allows for smooth real-time performance using an optimization framework, including denoising and stabilizing. In the entire pipeline, markers are only used in the calibration procedure, and any priors are not needed. Our approach enables us to interact with the target surface in real time, while maintaining correct illumination. It is easy and fast to develop different applications for our system, and some interesting cases are demonstrated at last.


2014 ◽  
Author(s):  
Deyu Sun ◽  
Maryam E. Rettmann ◽  
David R. Holmes ◽  
Cristian A. Linte ◽  
Douglas Packer ◽  
...  

2016 ◽  
Vol 5 (5-6) ◽  
Author(s):  
Yoshihiro Watanabe

AbstractThis paper reviews high-speed optical 3D sensing technologies for obtaining the 3D shape of a target using a camera. The focusing speed is from 100 to 1000 fps, exceeding normal camera frame rates, which are typically 30 fps. In particular, contactless, active, and real-time systems are introduced. Also, three example applications of this type of sensing technology are introduced, including surface reconstruction from time-sequential depth images, high-speed 3D user interaction, and high-speed digital archiving.


2018 ◽  
Vol E101.D (8) ◽  
pp. 2168-2172
Author(s):  
Wei LI ◽  
Yi WU ◽  
Chunlin SHEN ◽  
Huajun GONG

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