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

Abstract : This article presents a method for generating semi-synthetic 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, a new proposed 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. The 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 20131.
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Communication dans un congrès
The Twelfth International Conference on Document Analysis and Recognition, Aug 2013, United States
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https://hal.archives-ouvertes.fr/hal-01006100
Contributeur : Van Cuong Kieu <>
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Dernière modification le : jeudi 9 février 2017 - 16:58:52
Document(s) archivé(s) le : samedi 13 septembre 2014 - 11:31:26

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Van Cuong Kieu, Nicholas Journet, Muriel Visani, Rémy Mullot, Jean-Philippe Domenger. Semi-synthetic Document Image Generation Using Texture Mapping on Scanned 3D Document Shapes. The Twelfth International Conference on Document Analysis and Recognition, Aug 2013, United States. <hal-01006100>

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