Semi-synthetic Document Image Generation Using Texture Mapping on Scanned 3D Document Shapes

Abstract : This article presents a method for generating semisynthetic images of old documents where the pages might be torn (not flat). By using only 2D deformation models, most existing methods give non-realistic synthetic document images. Thus, we propose to use 3D approach for reproducing geometric distortions in real documents. First, our new texture coordinate generation technique extracts texture coordinates of each vertex in the document shape (mesh) resulting from 3D scanning of a real degraded document. Then, any 2D document image can be overlayed on the mesh by using an existing texture image mapping method. As a result, many complex real geometric distortions can be integrated in generated synthetic images. These images then can be used for enriching training sets or for performance evaluation. Our degradation method here is jointly used with the character degradation model we proposed in [1] to generate the 6000 semi-synthetic degraded images of the music score removal staff line competition of ICDAR 2013
Type de document :
Communication dans un congrès
International Conference on Document Analysis and Recognition (ICDAR 2013), Aug 2013, Washington, DC, United States. pp.489-493, 2013
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00859664
Contributeur : Muriel Visani <>
Soumis le : lundi 9 septembre 2013 - 10:59:54
Dernière modification le : vendredi 10 février 2017 - 01:04:35

Identifiants

  • HAL Id : hal-00859664, version 1

Collections

Citation

Van Cuong Kieu, Nicholas Journet, Muriel Visani, Jean-Philippe Domenger, Rémy Mullot. Semi-synthetic Document Image Generation Using Texture Mapping on Scanned 3D Document Shapes. International Conference on Document Analysis and Recognition (ICDAR 2013), Aug 2013, Washington, DC, United States. pp.489-493, 2013. <hal-00859664>

Partager

Métriques

Consultations de la notice

139