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Curve Finder Combining Perceptual Grouping and a Kalman Like Fitting

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Curve Finder Combining Perceptual Grouping and a Kalman Like Fitting
Id. 46296741
Idioma inglés
Titulo Curve Finder Combining Perceptual Grouping and a Kalman Like Fitting
Autor(es) Frederic Guichard
Jean-Philippe Tarel
Localización http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.25.464
Versión 1.0
Estado Final
Descripción We present an algorithm that extracts curves from a set of edgels within a specific class in a decreasing order of their "length". The algorithm inherits the perceptual grouping approaches. But, instead of using only local cues, a global constraint is imposed to each extracted subset of edgels, that the underlying curve belongs to a specific class. In order to reduce the complexity of the solution, we work with a linearly parameterized class of curves, function of one image coordinate. This allows, first, to use a recursive Kalman based fitting and, second, to cast the problem as an optimal path search in an directed graph. Experiments on finding lane-markings on roads demonstrate that real-time processing is achievable.
Tipo application/postscript
Tipo de recurso Texto Narrativo
Tipo de Interactividad Expositivo
Nivel de Interactividad muy bajo
Audiencia Estudiante
Profesor
Autor
Estructura Atomic
Coste no
Copyright
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Formatos application/postscript
Requerimientos técnicos Browser: Any
Relación [IsBasedOn] http://www.lems.brown.edu/~jpt/jpt-iccv99.ps.gz
[References] 10.1.1.128.9806
[References] 10.1.1.21.1429
[References] 10.1.1.37.8556
[References] 10.1.1.51.4388
[References] 10.1.1.34.1131
[References] 10.1.1.83.3697
[References] 10.1.1.10.9387
[References] 10.1.1.92.497
[References] 10.1.1.98.2103
Fecha de contribución 23-jul-2009
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