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Camera-Based Graphical Symbol Detection

Identifieur interne : 004877 ( Main/Merge ); précédent : 004876; suivant : 004878

Camera-Based Graphical Symbol Detection

Auteurs : Marçal Rusi Ol [Espagne] ; Josep Llad S [Espagne] ; Philippe Dosch [France]

Source :

RBID : Hal:inria-00176893

English descriptors

Abstract

In this paper we present a method to locate and recognize graphical symbols appearing in real images. A vectorial signature is defined to describe graphical symbols. It is formulated in terms of accumulated length and angular information computed from polygonal approximation of contours. The proposed method aims to locate and recognize graphical symbols in cluttered environments at the same time, without needing a segmentation step. The symbol signature is tolerant to rotation, scale, translation, blurring effect and illumination changes usually present when working with scenes acquired with low resolution cameras in open environments.

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Hal:inria-00176893

Le document en format XML

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<div type="abstract" xml:lang="en">In this paper we present a method to locate and recognize graphical symbols appearing in real images. A vectorial signature is defined to describe graphical symbols. It is formulated in terms of accumulated length and angular information computed from polygonal approximation of contours. The proposed method aims to locate and recognize graphical symbols in cluttered environments at the same time, without needing a segmentation step. The symbol signature is tolerant to rotation, scale, translation, blurring effect and illumination changes usually present when working with scenes acquired with low resolution cameras in open environments.</div>
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{{Explor lien
   |wiki=    Wicri/Lorraine
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   |texte=   Camera-Based Graphical Symbol Detection
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