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ICRA
2008
IEEE

Towards detection of orthogonal planes in monocular images of indoor environments

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Towards detection of orthogonal planes in monocular images of indoor environments
— In this paper, we describe the components of a novel algorithm for the extraction of dominant orthogonal planar structures from monocular images taken in indoor environments. The basic building block of our approach is the use of vanishing points and vanishing lines imposed by the frequently observed dominance of three mutually orthogonal vanishing directions in man-made world. Vanishing points are found by an improved approach, taking no assumptions on known internal or external camera parameters. The problem of detecting planar patches is attacked using a probabilistic framework, searching for the maximum a posteriori probability (MAP) in a Markov Random Field (MRF). For this, we propose a novel formulation fusing geometric information obtained from vanishing points and features, such as rectangles and partial rectangles, together with a color-homogeneity criteria imposed by an image over-segmentation. The method was evaluated on a set of images exhibiting largely varying charact...
Branislav Micusík, Horst Wildenauer, Markus
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICRA
Authors Branislav Micusík, Horst Wildenauer, Markus Vincze
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