A Dynamic Programming Approach to Reconstructing Building Interiors View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

David Hutchison , Takeo Kanade , Josef Kittler , Jon M. Kleinberg , Friedemann Mattern , John C. Mitchell , Moni Naor , Oscar Nierstrasz , C. Pandu Rangan , Bernhard Steffen , Madhu Sudan , Demetri Terzopoulos , Doug Tygar , Moshe Y. Vardi , Gerhard Weikum , Alex Flint , Christopher Mei , David Murray , Ian Reid

ABSTRACT

A number of recent papers have investigated reconstruction under Manhattan world assumption, in which surfaces in the world are assumed to be aligned with one of three dominant directions [1,2,3,4]. In this paper we present a dynamic programming solution to the reconstruction problem for “indoor” Manhattan worlds (a sub–class of Manhattan worlds). Our algorithm deterministically finds the global optimum and exhibits computational complexity linear in both model complexity and image size. This is an important improvement over previous methods that were either approximate [3] or exponential in model complexity [4]. We present results for a new dataset containing several hundred manually annotated images, which are released in conjunction with this paper. More... »

PAGES

394-407

References to SciGraph publications

  • 2008. Fast Automatic Single-View 3-d Reconstruction of Urban Scenes in COMPUTER VISION – ECCV 2008
  • 2002. Video Compass in COMPUTER VISION — ECCV 2002
  • 2001. Accurate Visual Metrology from Single and Multiple Uncalibrated Images in NONE
  • Book

    TITLE

    Computer Vision – ECCV 2010

    ISBN

    978-3-642-15554-3
    978-3-642-15555-0

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-15555-0_29

    DOI

    http://dx.doi.org/10.1007/978-3-642-15555-0_29

    DIMENSIONS

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