scholarly journals Deep Separation of Direct and Global Components from a Single Photograph under Structured Lighting

2020 ◽  
Vol 39 (7) ◽  
pp. 459-470
Author(s):  
Z. Duan ◽  
J. Bieron ◽  
P. Peers
Author(s):  
Zhenjie Yang ◽  
Beijia Chen ◽  
Youyi Zheng ◽  
Xiang Chen ◽  
Kun Zhou
Keyword(s):  

2021 ◽  
Vol 2057 (1) ◽  
pp. 012087
Author(s):  
S V Dvoynishnikov ◽  
V O Zuev ◽  
I K Kabardin ◽  
D V Kulikov ◽  
V V Rahmanov

Abstract This work aims at creating a universal software package for the development and testing of triangulation methods using structured lighting for measuring the three-dimensional geometry of objects in difficult ambient lighting conditions. As a result, a software package meeting the stated requirements is created. Lighting is based on the Fong model. A method for preloading objects is implemented to optimize the operation of the software package. An accelerated method for creating shadow maps is proposed and implemented. The developed software package is shown to successfully perform all required functions.


Author(s):  
Jessica M. Frazier

A single photograph provides one of the few pieces of evidence that Lorraine Gordon and Mary Clarke, both white members of the U.S.-based organization Women Strike for Peace (WSP), were the first American peace activists to interview Vietnamese officials in North Viet Nam after U.S. bombing began....


Author(s):  
Hao Xu ◽  
Wei Yin ◽  
Chen Yang ◽  
Jiachao Li ◽  
Shijie Feng ◽  
...  
Keyword(s):  

2019 ◽  
Vol 9 (11) ◽  
pp. 2179
Author(s):  
Benxing Gong ◽  
Guoyu Wang

Structured lighting techniques have increasingly been employed in underwater imaging, where scattering effects cannot be ignored. This paper presents an approach to underwater image recovery using structured light as a scanning mode. The method tackles both the forward scattering and back scattering problems. By integrating each of the sequentially striping illuminated frame images, we generate a synthesized image that can be modeled on the convolution of the surface albedo and the illumination function. Thus, image acquisition is issued as a problem of image recovery by deconvolution. The convolutional model has the advantage of integrating the forward scattering light into a recovered image so as to eliminate image blur. Notably, the removal of the back scattered light from each frame image can be easily realized by a virtual aperture to limit the field of view; the same principle as of the synchronous scanning systems in underwater imaging. Herein, the implementation of the proposed approach is described, and the results of the underwater experiments are presented.


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