Extracting Vanishing Points across Multiple Views

Michael Hornáček
Extracting Vanishing Points across Multiple Views
[paper]

Information

Abstract

The realization that we see lines we know to be parallel in space as lines that appear to converge in a corresponding vanishing point has led to techniques employed by artists to render a credible impression of perspective. More recently, it has also led to techniques for recovering information embedded in images—or, indeed, in paintings that feature correct perspective—concerning the geometry of their underlying scene. In this thesis, we explore the extraction of vanishing points in the aim of facilitating the reconstruction of urban scenes. In departure from most vanishing point extraction methods, ours extracts a constellation of vanishing points across multiple views rather than in a single image alone. By making use of a strong orthogonality criterion per view, optimal segment intersection estimation and a novel tripod fitting technique, our approach allows for the extraction of results that correspond closely to the dominant three pairwise-orthogonal orientations of a typical urban scene. Accordingly, ours can fairly be described as a material refinement of the approach proposed in Sinha et al.

Additional Files and Images

Additional images and videos

Additional files

Weblinks

No further information available.

BibTeX

@mastersthesis{hornacek-2010-evp,
  title =      "Extracting Vanishing Points across Multiple Views",
  author =     "Michael Horn{'a}\v{c}ek",
  year =       "2010",
  abstract =   "The realization that we see lines we know to be parallel in
               space as lines that appear to converge in a corresponding
               vanishing point has led to techniques employed by artists to
               render a credible impression of perspective. More recently,
               it has also led to techniques for recovering information
               embedded in images—or, indeed, in paintings that feature
               correct perspective—concerning the geometry of their
               underlying scene. In this thesis, we explore the extraction
               of vanishing points in the aim of facilitating the
               reconstruction of urban scenes. In departure from most
               vanishing point extraction methods, ours extracts a
               constellation of vanishing points across multiple views
               rather than in a single image alone. By making use of a
               strong orthogonality criterion per view, optimal segment
               intersection estimation and a novel tripod fitting
               technique, our approach allows for the extraction of results
               that correspond closely to the dominant three
               pairwise-orthogonal orientations of a typical urban scene.
               Accordingly, ours can fairly be described as a material
               refinement of the approach proposed in Sinha et al.",
  month =      sep,
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/",
}