First Name: 
Nuno
Last Name: 
Monteiro

Datasets & Analysis

Calibration datasets used in the article Standard Plenoptic Cameras Mapping to Camera Arrays and Calibration based on DLT. These datasets were acquired with a Lytro Illum camera using two calibration grids with different sizes: 8 × 6 grid of 211 × 159 mm (Big Pattern) with approximately 26.5 mm cells, and 20×20 grid of 121.5 × 122 mm (Small Pattern) with approximately 6.1 mm cells. Each dataset acquired is composed of 66 fully observable poses of the calibration pattern.

Instructions: 

The dataset is divided into the following zip files:

  • GD44M00145_WhiteImages: White image database of the Lytro Illum camera used to acquire the datasets.

  • Big Pattern 2D - Full: Calibration dataset with 66 poses of the big calibration grid.

  • Big Pattern 2D - Sample: Calibration dataset with 10 poses of the big calibration grid.

  • Big Pattern 2D - Sample Reduced: Calibration dataset with 5 poses of the big calibration grid.

  • Small Pattern 2D - Full: Calibration dataset with 66 poses of the small calibration grid.

  • Small Pattern 2D - Sample: Calibration dataset with 10 poses of the small calibration grid.

  • Small Pattern 2D - Sample Reduced: Calibration dataset with 5 poses of the small calibration grid.

  • Object: Objects dataset with the same acquisition conditions as the calibration datasets.

  • PlenCalCVPR2013Datasets: Lytro images used in the article for Lytro 1st generation calibration.

 

In order to obtain the lightfield associated with each image, you should read the Lytro raw image files (.lfp) using Dansereau's calibration toolbox (https://github.com/doda42/LFToolbox) and the white images provided here. The calibration of these datasets can be performed using the calibration toolbox provided in the article (http://www.isr.tecnico.ulisboa.pt/~nmonteiro/articles/plenoptic/tcsvt2019).

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