Object depth adjustment based on planar approximation in stereo images

Hanje Park, Hoonjae Lee, Sanghoon Sull

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

5 Citations (Scopus)

Abstract

This paper presents a method for adjusting the 3D depth of an object in a pair of stereo images by utilizing a planar approximation in the 3D space. The proposed method first segments an object in the stereo images based on both color and disparity. The segmented object is approximated by a plane in the 3D space and the depth of the object is adjusted by moving the plane in the 3D space, resulting in a new pair of stereo images. The proposed method is evaluated with DQCQS (Double Stimulus Continuous Quality Scale) subjective test and the experimental results show the feasibility of the proposed approach.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Pages10-14
Number of pages5
DOIs
Publication statusPublished - 2011 Oct 26
Event1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011 - Berlin, Germany
Duration: 2011 Sep 62011 Sep 8

Other

Other1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011
CountryGermany
CityBerlin
Period11/9/611/9/8

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Keywords

  • object depth adjustment
  • object segmentation
  • planar approximation
  • stereo images

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Park, H., Lee, H., & Sull, S. (2011). Object depth adjustment based on planar approximation in stereo images. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 10-14). [6031870] https://doi.org/10.1109/ICCE-Berlin.2011.6031870