Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image

Kiyoshi Matsuo, Yoshimitsu Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-36
Number of pages8
ISBN (Print)9781479930227
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 - Sydney, NSW, Australia
Duration: 2013 Dec 12013 Dec 8

Publication series

NameProceedings of the IEEE International Conference on Computer Vision

Other

Other2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013
CountryAustralia
CitySydney, NSW
Period13/12/113/12/8

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Keywords

  • Depth image interpolation
  • Image segmentation
  • Superpixel

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Matsuo, K., & Aoki, Y. (2013). Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image. In Proceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013 (pp. 29-36). [6755876] (Proceedings of the IEEE International Conference on Computer Vision). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2013.11