Plane rectification through robust vanishing point tracking using the expectation-maximization algorithm

Nieto Doncel, Marcos and Salgado Álvarez de Sotomayor, Luis (2010). Plane rectification through robust vanishing point tracking using the expectation-maximization algorithm. In: "IEEE 17th International Conference on Image Processing ICIP 2010", 26/09/2010 - 29/09/2010, Hong-Kong, China. ISBN 978-1-4244-7992-4.

Description

Title: Plane rectification through robust vanishing point tracking using the expectation-maximization algorithm
Author/s:
  • Nieto Doncel, Marcos
  • Salgado Álvarez de Sotomayor, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE 17th International Conference on Image Processing ICIP 2010
Event Dates: 26/09/2010 - 29/09/2010
Event Location: Hong-Kong, China
Title of Book: Proceedings of IEEE17th International Conference on Image Processing ICIP 2010
Date: December 2010
ISBN: 978-1-4244-7992-4
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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

More information

Item ID: 9248
DC Identifier: http://oa.upm.es/9248/
OAI Identifier: oai:oa.upm.es:9248
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5651779&tag=1
Deposited by: Memoria Investigacion
Deposited on: 14 Oct 2011 11:18
Last Modified: 20 Apr 2016 17:44
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