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Memorias de investigación
Communications at congresses:
Plane rectification through robust vanishing point tracking using the expectation-maximization algorithm
Year:2010
Research Areas
  • Processing and signal analysis
Information
Abstract
This paper introduces a new strategy for plane rectification in sequences of images, based on the Expectation-Maximization (EM) algorithm. Our approach is able to compute simultaneously the parameters of the dominant vanishing point in the image plane and the most significant lines passing through it. It is based on a novel definition of the likelihood distribution of the gradient image considering both the position and the orientation of the gradient pixels. Besides, the mixture model in which the EM algorithm operates is extended, compared to other works, to consider an additional component to control the presence of outliers. Some synthetic data tests are described to show the robustness and efficiency of the proposed method. The plane rectification results show that the method is able to remove the perspective and affine distortion of real traffic sequences without the need to compute two vanishing points.
International
Si
Congress
IEEE International Conference on Image Processing, ICIP 2010
960
Place
Hong-Kong, China
Reviewers
Si
ISBN/ISSN
1522-4880
10.1109/ICIP.2010.5651779
Start Date
26/09/2010
End Date
29/09/2010
From page
1901
To page
1904
Proc. 2010 IEEE International Conference on Image Processing ICIP 2010
Participants
  • Autor: Marcos Nieto Doncel (UPM)
  • Autor: Luis Salgado Alvarez de Sotomayor (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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