scholarly journals Depth estimation method using depth-of-field imaging with a retroreflector

2018 ◽  
Vol 26 (5) ◽  
pp. 5655
Author(s):  
Sungwon Choi ◽  
Sung-wook Min
2018 ◽  
Vol 89 (10) ◽  
pp. 103101 ◽  
Author(s):  
Hongbo Xie ◽  
Lirong He ◽  
Lei Yang ◽  
Chensheng Mao ◽  
Meng Zhu ◽  
...  

2019 ◽  
Vol 436 ◽  
pp. 232-238
Author(s):  
Xutao Mo ◽  
Tao Zhang ◽  
Bin Wang ◽  
Xianshan Huang ◽  
Cuifang Kuang ◽  
...  

Author(s):  
Shuyao Zhou ◽  
Tianqian Zhu ◽  
Kanle Shi ◽  
Yazi Li ◽  
Wen Zheng ◽  
...  

AbstractLight fields are vector functions that map the geometry of light rays to the corresponding plenoptic attributes. They describe the holographic information of scenes by representing the amount of light flowing in every direction through every point in space. The physical concept of light fields was first proposed in 1936, and light fields are becoming increasingly important in the field of computer graphics, especially with the fast growth of computing capacity as well as network bandwidth. In this article, light field imaging is reviewed from the following aspects with an emphasis on the achievements of the past five years: (1) depth estimation, (2) content editing, (3) image quality, (4) scene reconstruction and view synthesis, and (5) industrial products because the technologies of lights fields also intersect with industrial applications. State-of-the-art research has focused on light field acquisition, manipulation, and display. In addition, the research has extended from the laboratory to industry. According to these achievements and challenges, in the near future, the applications of light fields could offer more portability, accessibility, compatibility, and ability to visualize the world.


Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1416 ◽  
Author(s):  
Jin-Hee Ahn ◽  
Young-Soo Jeong ◽  
In-Tae Kim ◽  
Seok-Hyeon Jeon ◽  
Chan-Hee Park

In this study, a time-dependent corrosion depth estimation method using atmospheric corrosion monitor (ACM) sensor data to evaluate time-dependent corrosion behaviors is proposed. For the time-dependent corrosion depth estimation of uncoated carbon steel and weathering steel, acceleration corrosion tests were conducted in salt-spray corrosion environments and evaluated with a corrosion damage estimation method using ACM sensing data and corrosion loss data of the tested steel specimens. To estimate the time-dependent corrosion depth using corrosion current by an ACM sensor, the relationship between the mean corrosion depth calculated from the weight loss method and the corrosion current was evaluated. The mean corrosion depth was estimated by calculating the corrosion current and evaluating the relationship between the mean corrosion depth and corrosion current during the expected period. From the test and estimation results, the corrosion current demonstrated a good linear correlation with the mean corrosion depth of carbon steel and weathering. The calculated mean corrosion depth is nearly the same as that of the tested specimen, which can be well used to estimate corrosion rate for the uncoated carbon steel and weathering steel.


2015 ◽  
Vol 54 (11) ◽  
pp. 115103 ◽  
Author(s):  
Shouqian Chen ◽  
Van Nhu Le ◽  
Zhigang Fan ◽  
Hong Cam Tran

1995 ◽  
Author(s):  
Joseph van der Gracht ◽  
Edward R. Dowski, Jr. ◽  
W. Thomas Cathey, Jr. ◽  
John P. Bowen

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