Solution to the correspondence problem in multiview imagery

Luuk J. Spreeuwers*, Klamer Schutte, Zweitze Houkes

*Corresponding author for this work

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    Abstract

    This paper consists of two parts. First a system is proposed that performs a recognition operation of single aerial photographs using a shape-constrained segmentation method and least squares estimation for the parameters of buildings. In the second part this system is extended to multi-view imagery. The advantage of using multi-view imagery is that buildings not recognized from one image (e.g. due to occlusion) may still be recognized, because they are observable from other images. However, this also complicates processing, because objects recognized from different images should correspond if they originate from the same physical objects. A solution to this correspondence problem is presented on object hypothesis level.

    Original languageEnglish
    Title of host publicationImage and Signal Processing for Remote Sensing II
    EditorsJacky Desachy
    Pages274-284
    Number of pages11
    DOIs
    Publication statusPublished - 1 Dec 1995
    EventSatellite Remote Sensing II 1995 - Paris, France
    Duration: 25 Sep 199527 Sep 1995

    Conference

    ConferenceSatellite Remote Sensing II 1995
    CountryFrance
    CityParis
    Period25/09/9527/09/95

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  • Cite this

    Spreeuwers, L. J., Schutte, K., & Houkes, Z. (1995). Solution to the correspondence problem in multiview imagery. In J. Desachy (Ed.), Image and Signal Processing for Remote Sensing II (pp. 274-284) https://doi.org/10.1117/12.226843