The focused plenoptic camera

By Andrew Lumsdaine, Todor Georgiev. International Conference on Computational Photography, 2009

509 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/e1febb94b4e1443d26f85273aa775efdd56f41b4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Paolo Favaro
2. Oscar Pizarro
3. Tom E. Bishop
4. Stefan B. Williams
5. Donald G. Dansereau
6. Luc Van Gool
7. Andrea Vedaldi
8. Dacheng Tao

In Media Technology

1. Paolo Favaro
2. Oscar Pizarro
3. Tom E. Bishop
4. Stefan B. Williams
5. Donald G. Dansereau

Citations in the corpus

• Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras (2013, methodology): “raw lenselet image after demosaicing and without vignetting correction; pictured is a rainbow lorikeet In other relevant work, Georgiev et al. [7] derive a plenoptic camera model using ray transfer matrix analysis .”
• The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution (2012, methodology): “Notice the relation to Lumsdaine and Georgiev's magnification factor [21].”