Please use this identifier to cite or link to this item:
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
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
Country: SAN DIEGO
Citation: Efficient Height Measurements In Single Images Based On The Detection Of Vanishing Points. Academic Press Inc Elsevier Science, v. 138, p. 51-60 SEP-2015.
Rights: embargo
Identifier DOI: 10.1016/j.cviu.2015.03.017
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
wos_000358701700004.pdf4.06 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.