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

Autor(es)

Andalo, Fernanda A. ^[1] ; Taubin, Gabriel ^[2] ; Goldenstein, Siome ^[3]

Afiliação do(s) autor(es)

^[1] SAMSUNG Res Inst Brazil SRBR, BR-13097160 Campinas, SP - Brazil

^[2] Brown Univ, Sch Engn, Providence, RI 02912 - USA

^[3] Univ Estadual Campinas, UNICAMP, Inst Comp, BR-13083852 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: COMPUTER VISION AND IMAGE UNDERSTANDING; v. 138, p. 51-60, SEP 2015.
• Citações Web of Science: 6

Resumo

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. (AU)

• Processo FAPESP: 12/50468-6 - Visão para o cego: traduzindo conceitos visuais 3D em informações de 3D de áudio
• Beneficiário: Siome Klein Goldenstein
• Modalidade de apoio: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE