The datasets were generated in order to test depth estimation method in light field. They were submitted along with our proposed depth estimation framework in TIP, July 2019.
The 'Inria synthetic light field datasets' is composed of two sub-datasets (SLFD & DLFD) generated with open source software Blender. Sparse Light Field Dataset (SLFD) includes 53 scenes with disparity range [-20,20] pixels between adjacent views, and Dense Light Field Dataset (DLFD) contains 39 scenes with disparity range [-4,4] pixels. Both datasets have light fields of spatial resolution 512 x 512 and of angular resolution 9 x 9. Besides color image (format .png) of each view, corresponding disparity map is also available in format .npy (for Python users) or .mat (for Matlab users).
For each light field in dataset, the views are numbered as depicted in the diagram below, it should be noted that the number starts from 1, not 0.
The following videos show several light fields examples, each scene has a color map video and a disparity map video.
This work has been supported by the EU H2020 Research and Innovation Programme under grant agreement No 694122 (ERC advanced grant CLIM).
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