Dense structure-from-motion: an approach based on segment matching

F. Ernst, P. Wilinski, C.W.A.M. Overveld, van

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    8 Citations (Scopus)

    Abstract

    For 3D video applications, dense depth maps are required. We present a segment-based structure-from-motion technique. After image segmentation, we estimate the motion of each segment. With knowledge of the camera motion, this can be translated into depth. The optimal depth is found by minimizing a suitable error norm, which can handle occlusions as well. This method combines the advantages of motion estimation on the one hand, and structure-from-motion algorithms on the other hand. The resulting depth maps are pixel-accurate due to the segmentation, and have a high accuracy: depth differences corresponding to motion differences of 1/8/sup th/ of a pixel can be recovered
    Original languageEnglish
    Title of host publicationComputer Vision ECCV 2002. 7th European Conference on Computer Vision. Proceedings / Ed. Anders Heyden, Gunnar Sparr, Mads Nielsen, P. Johansen
    Place of PublicationBerlin, Germany
    PublisherSpringer
    Pages217-231
    ISBN (Print)3540437444
    Publication statusPublished - 2002

    Publication series

    NameLecture notes in computer science
    Volume2351
    ISSN (Print)0302-9743

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