| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [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
Total Affiliations: 3
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| Document type: | Journal article |
| Source: | COMPUTER VISION AND IMAGE UNDERSTANDING; v. 138, p. 51-60, SEP 2015. |
| Web of Science Citations: | 6 |
| 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. (AU) | |
| FAPESP's process: | 12/50468-6 - Vision for the blind: translating 3D visual concepts into 3D auditory clues |
| Grantee: | Siome Klein Goldenstein |
| Support Opportunities: | Research Grants - Research Partnership for Technological Innovation - PITE |