Detecting vanishing points by segment clustering on the projective plane for single-view photogrammetry

IEEE International Workshop on Information Forensics and Security (WIFS), Seattle, WA, USA, 2010

Abstract

In this paper, we describe how an effective vanishing point detector can be applied to photogrammetry when only a single view of an architectural environment is available. Our method performs automatic segment clustering in projective space - a direct transformation from the image space - instead of the traditional bounded accumulator space. Experiments on real images show the effectiveness of the proposed detector in finding all vanishing points, as well as its application in a photogrammetry algorithm, by recovering the vertical direction of the scene and the vanishing line for the ground plane.

BibTeX

@inproceedings{andalo10wifs,
    authors      = “Fernanda A. Andal{\‘o} and Gabriel Taubin and Siome Goldenstein”,
    title        = “Detecting vanishing points by segment clustering on the projective plane for single-view photogrammetry”,
    booktitle    = “{IEEE} International Workshop on Information Forensics and Security ({WIFS})”,
    pages        = “1–6”,
    year         = 2010,
    address      = “Seattle, WA, USA”,
}