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

Other

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

Fingerprint

Interpolation
Pixels
Color
Image segmentation
Experiments

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 of the IEEE International Conference on Computer Vision (pp. 29-36). [6755876] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2013.11

Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image. / Matsuo, Kiyoshi; Aoki, Yoshimitsu.

Proceedings of the IEEE International Conference on Computer Vision. Institute of Electrical and Electronics Engineers Inc., 2013. p. 29-36 6755876.

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

Matsuo, K & Aoki, Y 2013, Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image. in Proceedings of the IEEE International Conference on Computer Vision., 6755876, Institute of Electrical and Electronics Engineers Inc., pp. 29-36, 2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013, Sydney, NSW, Australia, 13/12/1. https://doi.org/10.1109/ICCVW.2013.11
Matsuo K, Aoki Y. Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image. In Proceedings of the IEEE International Conference on Computer Vision. Institute of Electrical and Electronics Engineers Inc. 2013. p. 29-36. 6755876 https://doi.org/10.1109/ICCVW.2013.11
Matsuo, Kiyoshi ; Aoki, Yoshimitsu. / Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image. Proceedings of the IEEE International Conference on Computer Vision. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 29-36
@inproceedings{3d05e6bf6a50403abbc6a9fd7ff05d07,
title = "Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image",
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.",
keywords = "Depth image interpolation, Image segmentation, Superpixel",
author = "Kiyoshi Matsuo and Yoshimitsu Aoki",
year = "2013",
doi = "10.1109/ICCVW.2013.11",
language = "English",
isbn = "9781479930227",
pages = "29--36",
booktitle = "Proceedings of the IEEE International Conference on Computer Vision",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image

AU - Matsuo, Kiyoshi

AU - Aoki, Yoshimitsu

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Depth image interpolation

KW - Image segmentation

KW - Superpixel

UR - http://www.scopus.com/inward/record.url?scp=84897499243&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84897499243&partnerID=8YFLogxK

U2 - 10.1109/ICCVW.2013.11

DO - 10.1109/ICCVW.2013.11

M3 - Conference contribution

SN - 9781479930227

SP - 29

EP - 36

BT - Proceedings of the IEEE International Conference on Computer Vision

PB - Institute of Electrical and Electronics Engineers Inc.

ER -