| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Wavefront analysis for plenoptic camera imaging |
| Yin-Sen Luan(栾银森)1,2,3,4, Bing Xu(许冰)1,2, Ping Yang(杨平)1,2, Guo-Mao Tang(汤国茂)1,2 |
1. Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, China;
2. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China |
|
|
|
|
Abstract The plenoptic camera is a single lens stereo camera which can retrieve the direction of light rays while detecting their intensity distribution. In this paper, to reveal more truths of plenoptic camera imaging, we present the wavefront analysis for the plenoptic camera imaging from the angle of physical optics but not from the ray tracing model of geometric optics. Specifically, the wavefront imaging model of a plenoptic camera is analyzed and simulated by scalar diffraction theory and the depth estimation is redescribed based on physical optics. We simulate a set of raw plenoptic images of an object scene, thereby validating the analysis and derivations and the difference between the imaging analysis methods based on geometric optics and physical optics are also shown in simulations.
|
Received: 04 April 2017
Revised: 12 May 2017
Accepted manuscript online:
|
|
PACS:
|
42.30.-d
|
(Imaging and optical processing)
|
| |
42.30.Va
|
(Image forming and processing)
|
| |
42.30.Tz
|
(Computer vision; robotic vision)
|
| |
42.25.-p
|
(Wave optics)
|
|
| Fund: Project supported by the Innovation Fund of Chinese Academy of Sciences (Grant No. CXJJ-6M208). |
Corresponding Authors:
Bing Xu
E-mail: bing_xu_ioe@163.com
|
Cite this article:
Yin-Sen Luan(栾银森), Bing Xu(许冰), Ping Yang(杨平), Guo-Mao Tang(汤国茂) Wavefront analysis for plenoptic camera imaging 2017 Chin. Phys. B 26 104203
|
| [1] |
Ng R, Levoy M, Brédif M, Duval G, Horowitz M and Hanrahan P 2005 Comput. Sci. Technical Report CSTR 2 11
|
| [2] |
Levoy M, Ng R, Adams A, Footer M and Horowitz M 2006 ACM Trans. Graph. 25 924
|
| [3] |
Lumsdaine A and Georgiev T 2009 in Proceedings of Eurographics p. 5
|
| [4] |
Dansereau D G, Pizarro O and Williams S B 2013 in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) p. 1027
|
| [5] |
Perwass C and Wietzke L 2012 Proc. SPIE 8291 829108
|
| [6] |
Michael L and Movshon J A 1991 Computational Models of Visual Processing (Cambridge:MIT Press) p. 3
|
| [7] |
Adelson E H and Wang J Y A 1992 IEEE Trans. Pattern Anal. Mach. Intell. 14 99
|
| [8] |
Huang L, Bian Q, Zhou C L, Li T H and Gong M L 2016 Chin. Phys. B 25 070701
|
| [9] |
Luan Y S, He X, Xu B, Yang P and Tang G M 2006 Opt. Eng. 55 043111
|
| [10] |
Wu C, Ko J and Davis C C 2015 J. Opt. Soc. Am. A 32 964
|
| [11] |
Hartley R I and Sturm P 1997 Comput. Vision Image Understanding 68 146
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
