Single Lens Stereo with a Plenoptic Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Super-Resolution Imaging
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
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This paper presents why the spatial resolution of an image captured by a plenoptic camera can be improved. The plenoptic camera captures the 4D light field (angular and spatial information of light) within a limited 2D sensor and results in reducing 2D spatial resolution due to inevitable 2D angular data. However, for improving the reduced resolution, we propose a novel analysis that 2D angular data contain spatially subpixel-shifted information. Although angular data have been defined as light's set radiated from one spatial point in a scene theoretically, practical angular data captured by plenoptic camera consist of spatially different minuscule area. That is, angular data provide the redundant data used generally by super-resolution techniques. Our experimental results demonstrate the improvement of spatial resolution as well as the existence of spatial information within 2D angular data.