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Simultaneous Estimation of Super-resolved Depth and All-infocus Images from a Plenoptic Camera .
Content Provider | Semantic Scholar |
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Author | Lüke, Jonas Philipp |
Copyright Year | 2009 |
Abstract | This paper presents a new technique to simultaneously estimate the depth map and the all-in-focus image of a scene, both at super-resolution, from a plenoptic camera. A plenoptic camera uses a microlens array to measure the radiance and direction of all the light rays in a scene. It is composed of n×n microlenses and each of them generates a m×m image. Previous approaches to the depth and all-infocus estimation problem processed the plenoptic image, generated a n×n×m focal stack, and were able to obtain a n×n depth map and all-in-focus image of the scene. This is a major drawback of the plenoptic camera approach to 3DTV since the total resolution of the camera n 2 m 2 is divided by m 2 to obtain a final resolution of n 2 pixels. In our approach we propose a new super-resolution focal stack that is combined with multiview depth estimation. This technique allows a theoretical resolution of approximately n 2 m 2 /4 pixels. This is an o(m 2 ) increment over previous approaches. From a practical point of view, in typical scenes we are able to increase 25 times the resolution of previous techniques. The time complexity of the algorithm makes possible to obtain real-time processing for 3DTV using appropriate hardware (GPU’s or FPGA’s) so it could be used in plenoptic video-cameras. |
File Format | PDF HTM / HTML |
Alternate Webpage(s) | http://webpages.ull.es/users/fdoperez/doc/alemania09.pdf |
Alternate Webpage(s) | http://fdoperez.webs.ull.es/doc/alemania09.pdf |
Alternate Webpage(s) | https://fdoperez.webs.ull.es/doc/alemania09.pdf |
Language | English |
Access Restriction | Open |
Subject Keyword | 3D television Algorithm Depth map Estimation theory FOCAL (programming language) Field-programmable gate array Graphics processing unit Increment Pixel Radiation Ray (optics) Real-time clock Super-resolution imaging Time complexity |
Content Type | Text |
Resource Type | Article |