Sciweavers

ACCV
2007
Springer

Backward Segmentation and Region Fitting for Geometrical Visibility Range Estimation

13 years 9 months ago
Backward Segmentation and Region Fitting for Geometrical Visibility Range Estimation
Abstract. We present a new application of computer vision: continuous measurement of the geometrical visibility range on inter-urban roads, solely based on a monocular image acquisition system. To tackle this problem, we propose first a road segmentation scheme based on a Parzenwindowing of a color feature space with an original update that allows us to cope with heterogeneously paved-roads, shadows and reflections, observed under various and changing lighting conditions. Second, we address the under-constrained problem of retrieving the depth information along the road based on the flat word assumption. This is performed by a new region-fitting iterative least squares algorithm, derived from half-quadratic theory, able to cope with vanishing-point estimation, and allowing us to estimate the geometrical visibility range.
Erwan Bigorgne, Jean-Philippe Tarel
Added 06 Jun 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where ACCV
Authors Erwan Bigorgne, Jean-Philippe Tarel
http://perso.lcpc.fr/tarel.jean-philippe/publis/accv07.html
Comments (0)