Dense disparity estimation using a hierarchical matching technique from uncalibrated stereo vision

Lazaros Nalpantidis, N. Kyriakoulis, A. Gasteratos, A. Amanatiadis, G. Sirakoulis

    Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

    7 Citations (Scopus)

    Abstract

    In motion estimation, the sub-pixel matching technique involves the search of sub-sample positions as well as integer-sample positions between the image pairs, choosing the one that gives the best match. Based on this idea, the proposed disparity estimation algorithm performs a 2-D correspondence search using a hierarchical search pattern. The disparity value is then defined using the distance of the matching position. Therefore, the proposed algorithm can process non-rectified stereo image pairs, maintaining the computational load within reasonable levels.
    Original languageEnglish
    Title of host publication2009 IEEE International Workshop on Imaging Systems and Techniques, IST 2009 - Proceedings
    Number of pages5
    Publication date1 Jan 2009
    Pages427-431
    DOIs
    Publication statusPublished - 1 Jan 2009

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