ML Anthology

Depth Interpolation via Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image

Kiyoshi Matsuo, Yoshimitsu Aoki
ICCVW 2013 pp. 29-36
doi:10.1109/ICCVW.2013.11 /iccvw/2013/matsuo2013iccvw-depth/

Abstract

This paper describes a method for accurately interpolating a low-resolution depth image using a high-resolution color image. In our method, first, tangent planes on each super pixel are estimated from the sparse depth information and dense color information. Then, the neighboring super pixels that have smooth-connectable tangent planes are connected, and the image segmentation to smooth surfaces are achieved. Finally, the low-resolution depth image is interpolated using this smooth surface segmentation. In experiments with images from the Middlebury stereo datasets, our method interpolates each image at a high rate, and achieves the lowest error when compared to existing techniques.

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Cite

Text

Matsuo and Aoki. "Depth Interpolation via Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image." IEEE/CVF International Conference on Computer Vision Workshops, 2013. doi:10.1109/ICCVW.2013.11

Markdown

[Matsuo and Aoki. "Depth Interpolation via Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image." IEEE/CVF International Conference on Computer Vision Workshops, 2013.](https://mlanthology.org/iccvw/2013/matsuo2013iccvw-depth/) doi:10.1109/ICCVW.2013.11

BibTeX

@inproceedings{matsuo2013iccvw-depth,
  title     = {{Depth Interpolation via Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image}},
  author    = {Matsuo, Kiyoshi and Aoki, Yoshimitsu},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2013},
  pages     = {29-36},
  doi       = {10.1109/ICCVW.2013.11},
  url       = {https://mlanthology.org/iccvw/2013/matsuo2013iccvw-depth/}
}