Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/242900
Type: Artigo de periódico
Title: Efficient Height Measurements In Single Images Based On The Detection Of Vanishing Points
Author: Andalo
Fernanda A.; Taubin
Gabriel; Goldenstein
Siome
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. (C) 2015 Elsevier Inc. All rights reserved.
Subject: Performance Evaluation
Scene Structure
Metrology
Country: SAN DIEGO
Editor: ACADEMIC PRESS INC ELSEVIER SCIENCE
Rights: embargo
Identifier DOI: 10.1016/j.cviu.2015.03.017
Address: http://www.sciencedirect.com/science/article/pii/S1077314215000855
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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