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Distance transforms for three-dimensional grids with non-cubic voxels

  • Gunilla Borgefors
  • , Robin Strand

    Publication: Contribution to journalJournal articlepeer-review

    Abstract

    Distance transforms on the face-centered cubic (fee) grid and the body-centered cubic (bcc) grid are examined. Since the voxels on the fee and bee grids are better approximations of a Euclidean ball than the cube, the distance transforms (DTs) on these grids can be less rotation dependent than those in Z(3), which is a desirable feature. Optimal (according to the error function) weights are calculated and integer approximations of these weights are found. Also, the two-dimensional city block distance is generalized to the fee and bee grids by considering a unit distance between gridpoints whose corresponding voxels share a face. A method to compute the DTs is presented. The results are evaluated both theoretically and by actually computing some DTs. (c) 2005 Elsevier Inc. All rights reserved.
    Original languageEnglish
    Pages (from-to)294-311
    Number of pages18
    JournalComputer Vision and Image Understanding
    Volume100
    Issue number3
    DOIs
    Publication statusPublished - 2005

    Keywords

    • distance transform
    • fcc
    • bcc
    • non-cubic voxels

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