Photogrammetry

Computing heights in single images

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Unicamp & Brown University CNPq 2009-2015
Part of this project was developed during my Ph.D.

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 project, we research a method for detecting vanishing points, with their subsequent application to the problem of computing heights in single images.

Photogrammetry Height measurement Vanishing point detection Projective space

Publications

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

Fernanda A. Andaló, Gabriel Taubin, Siome Goldenstein

Computer Vision and Image Understanding (CVIU) 2015

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

Computer vision methods applicable to forensic science

Fernanda A. Andaló, Siome Goldenstein

Workshop of Theses and Dissertations, Conference on Graphics, Patterns and Images (WTD/SIBGRAPI) 2013

Métodos de visão computacional aplicáveis à ciência forense

Fernanda A. Andaló

Institute of Computing, University of Campinas (IC-UNICAMP) 2012

Vanishing point detection by segment clustering on the projective space

Fernanda A. Andaló, Gabriel Taubin, Siome Goldenstein

Trends and Topics in Computer Vision – ECCV 2010 Workshops, Heraklion, Crete, Greece, September 10-11, 2010, Revised Selected Papers, Part II 2012

Vanishing point detection by segment clustering on the projective space

Detecting vanishing points by segment clustering on the projective plane for single-view photogrammetry

Fernanda A. Andaló, Gabriel Taubin, Siome Goldenstein

IEEE International Workshop on Information Forensics and Security (WIFS) 2010

Detecting vanishing points by segment clustering on the projective plane for single-view photogrammetry