Number of the records: 1
A framework for virtual restoration of ancient documents by combination of multispectral and 3D imaging
- 1.
SYSNO ASEP 0350358 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A framework for virtual restoration of ancient documents by combination of multispectral and 3D imaging Author(s) Bianco, G. (IT)
Bruno, F. (IT)
Tonazzini, A. (IT)
Salerno, E. (IT)
Savino, P. (IT)
Zitová, Barbara (UTIA-B) RID, ORCID
Šroubek, Filip (UTIA-B) RID, ORCID
Console, E. (IT)Source Title Eurographics Italian Chapter Conference. - Janov : The Eurographics Association, 2010 / Puppo E. ; Brogni A. ; de Floriani L. - ISBN 978-3-905673-80-7 Pages s. 1-7 Number of pages 7 s. Action Eurographics Italian Chapter Conference Event date 18.11.2010-19.11.2010 VEvent location Janov Country IT - Italy Event type WRD Language eng - English Country IT - Italy Keywords Image Processing Application ; Document Capture ; Document Analysis Subject RIV JD - Computer Applications, Robotics R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/08/1593 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) DOI 10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/001-007 Annotation Our paper presents a framework for virtual restoration of ancient documents based on a combination of multispectral acquisition, 3D imaging and digital image analysis. The proposed framework consists of several steps. First, digital representations of the documents are acquired as multispectral images and 3D surface maps, the latter reconstructed by a structured light technique. A multispectral camera and a digital projector are used in triangular configuration for 2D and 3D data acquisition. Then the multispectral images are registered against possible misalignments, and the 3D surface representation is used to correct geometrical distortions. Document flattening is then performed by 3D surface parameterization and texture mapping. Statistical techniques of decorrelation are applied to extract individual context parts of the document patterns (stamp, text, etc.) and to attenuate interferences. The processed data are then binarized by the proper segmentation technique. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
Number of the records: 1