Wide-baseline stereo matching using ASIFT and POC

Jumpei Ishii, Shuji Sakai, Koichi Ito, Takafumi Aoki

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

6 Citations (Scopus)

Abstract

This paper proposes an accurate, dense and robust wide-baseline stereo correspondence matching method combining ASIFT (Affine-SIFT) and POC (Phase-Only Correlation). ASIFT-based matching is robust against perspective deformation of the stereo images, while the corresponding points are sparse. POC-based matching can find dense correspondence, while the corresponding points are not reliable in the case of the wide-baseline stereo. The complementary use of ASIFT and POC makes it possible to find accurate and dense stereo correspondence regardless of the length of camera baseline. Through a set of experiments, we demonstrate that the proposed method exhibits efficient performance compared with the conventional methods. We also apply the proposed method to 3D reconstruction from multi-view images.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages2977-2980
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: 2012 Sep 302012 Oct 3

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period12/9/3012/10/3

Keywords

  • 3D reconstruction
  • ASIFT
  • Phase-Only Correlation
  • stereo correspondence
  • wide-baseline stereo

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Ishii, J., Sakai, S., Ito, K., & Aoki, T. (2012). Wide-baseline stereo matching using ASIFT and POC. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 2977-2980). [6467525] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6467525