Depth image interpolation with the propagation of color geodesic neighborhoods

Kiyoshi Matsuo, Yoshimitsu Aoki

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

Abstract

This paper describes a new accurate interpolation method of a low-resolution depth image using a high-resolution color image for the structural analysis of 3d data. Our method adopts the strategy to detect and omit regions where it is difficult to estimate depth value accurately. In order to achieve this, Color geodesic neighborhood is used as the local smooth surface, and depth data is interpolated with checking smoothness of connections between them. Pixels where they can not be smoothly connected are omitted automatically as indeterminable pixels in this process. Experiments with images of the Middlebury stereo datasets demonstrate that in the quantitative sense our method can interpolate depth images more accurately than other interpolation methods.

Original languageEnglish
Title of host publication2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013
DOIs
Publication statusPublished - 2013 Sep 9
Event2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013 - Dhaka, Bangladesh
Duration: 2013 May 172013 May 18

Publication series

Name2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013

Other

Other2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013
CountryBangladesh
CityDhaka
Period13/5/1713/5/18

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Matsuo, K., & Aoki, Y. (2013). Depth image interpolation with the propagation of color geodesic neighborhoods. In 2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013 [6572627] (2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013). https://doi.org/10.1109/ICIEV.2013.6572627