Efficient height measurements in single images based on the detection of vanishing points

Computer Vision and Image Understanding (CVIU), 2015

Abstract

Surveillance cameras have become a customary security equipment in buildings and streets worldwide. It is up to the field of Computational Forensics to provide automated methods for extracting and analyzing relevant image data captured by such equipment. In this article, we describe an effective and semi-automated method for detecting vanishing points, with their subsequent application to the problem of computing heights in single images. With no necessary camera calibration, our method iteratively clusters segments in the bi-dimensional projective space, identifying all vanishing points – finite and infinite – in an image. We conduct experiments on images of man-made environments to evaluate the output of the proposed method and we also consider its application on a photogrammetry framework.

BibTeX

@article{andalo15cviu,
    authors      = “Fernanda A. Andal{\‘o} and Gabriel Taubin and Siome Goldenstein”,
    title        = “Efficient height measurements in single images based on the detection of vanishing points”,
    journal      = “Computer Vision and Image Understanding ({CVIU})”,
    volume       = 138,
    pages        = “51–60”,
    year         = 2015,
}