Andre T. Martins, Pedro M. Q. Aguiar, Mario A. T. Figueiredo  Home/Search
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Abstract: The problem of inferring 3D orientation of a camera from video sequences has been mostly addressed by first computing correspondences of image features. This intermediate step is now seen as the main bottleneck of those approaches. In this paper, we propose a new 3D orientation estimation method for urban (indoor and outdoor) environments, which avoids correspondences between frames. The basic scene property exploited by our method is that many edges are oriented along three orthogonal... (Update)
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BibTeX entry: (Update)
@misc{ martins-navigating,
author = "Andre T. Martins and Pedro M. Q. Aguiar and Mario A. T. Figueiredo",
title = "Navigating in Manhattan: 3D Orientation from Video without Correspondences",
url = "citeseer.ist.psu.edu/677232.html" }
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4 Three-dimensional modeling from two-dimensional video (context) - Aguiar, Moura - 2001
2 The manhattan world assumption: Regularities in scene statis.. - Coughlan, Yuille - 2000
2 Equivalence classes for camera orientation (context) - Martins, Aguiar et al. - 2002
Documents on the same site (http://omni.isr.ist.utl.pt/%7Eaguiar/):
Rank 1 Weighted Factorization for 3D Structure Recovery.. - Aguiar, Moura (2003) (Correct)
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