Computational Plenoptic Imaging
| dc.contributor.author | Wetzstein, Gordon | en_US |
| dc.contributor.author | Ihrke, Ivo | en_US |
| dc.contributor.author | Lanman, Douglas | en_US |
| dc.contributor.author | Heidrich, Wolfgang | en_US |
| dc.contributor.editor | N. John and B. Wyvill | en_US |
| dc.date.accessioned | 2014-02-06T15:47:37Z | |
| dc.date.available | 2014-02-06T15:47:37Z | |
| dc.date.issued | 2011 | en_US |
| dc.description.abstract | The plenoptic function is a ray-based model for light that includes the color spectrum as well as spatial, temporal, and directional variation. Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as they convert photons into electrons; in the process, all visual information is irreversibly lost, except for a two-dimensional, spatially-varying subset - the common photograph. In this state of the art report, we review approaches that optically encode the dimensions of the plenpotic function transcending those captured by traditional photography and reconstruct the recorded information computationally. | en_US |
| dc.description.seriesinformation | Eurographics 2011 - State of the Art Reports | en_US |
| dc.identifier.issn | 1017-4656 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/EG2011/stars/025-048 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.4.1 [Image Processing and Computer Vision]: Digitization and Image Capture- I.4.5 [Image Processing and Computer Vision]: Reconstruction | en_US |
| dc.title | Computational Plenoptic Imaging | en_US |
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