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

Kiyoshi Matsuo, Yoshimitsu Aoki

研究成果: Conference contribution

9 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013
出版者Institute of Electrical and Electronics Engineers Inc.
ページ29-36
ページ数8
ISBN(印刷物)9781479930227
DOI
出版物ステータスPublished - 2013 1 1
イベント2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 - Sydney, NSW, Australia
継続期間: 2013 12 12013 12 8

出版物シリーズ

名前Proceedings of the IEEE International Conference on Computer Vision

Other

Other2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013
Australia
Sydney, NSW
期間13/12/113/12/8

    フィンガープリント

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

これを引用

Matsuo, K., & Aoki, Y. (2013). Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image. : 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