Depth Inpainting database

Algorithms
This dataset contains depth images and masks for depth image inpainting.
Dataset in zip: Data File
The description of the files provided in the dataset:
  • This dataset contains 16 subdirectories. The subdirectories contain depth images in png format converted from the ground truth disparity maps of the Middlebury Stereo Dataset [1]. In each subdirectory, disp.png is the ground truth disparity map (pixel ranges from 0 to 255). Unknown values of the Middlebury dataset are converted to 0s in disp.png.
  • Accompanied with the depth images are the missing masks (mask.png or mask_*.png) and the damaged images (missing.png or missing_*.png).
  • Other images are corresponding inpainting results of the algorithms mentioned in our paper. See more details in our paper.
    • original depth missing depth mask
    inpainted by LR inpainted LRL0 inpainted by LRL0^\psi
    If you used the processed data sets on this page, we appreciate it very much if you can cite our following works:

    Hongyang Xue, Shengming Zhang, Deng Cai: Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization, IEEE Trans. Image Processing 26(9): 4311-4320 (2017). Bibtex source

    Our dataset is made based on the Middlebury Stereo Dataset:

    [1] D. Scharstein, H. Hirschmüller, Y. Kitajima, G. Krathwohl, N. Nesic, X. Wang, and P. Westling. High-resolution stereo datasets with subpixel-accurate ground truth. (GCPR 2014),

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