Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30172
A Stereo Vision System for Top View Book Scanners

Authors: Erik Lilienblum, Robert Niese, Bernd Michaelis

Abstract:

This paper proposes a novel stereo vision technique for top view book scanners which provide us with dense 3d point clouds of page surfaces. This is a precondition to dewarp bound volumes independent of 2d information on the page. Our method is based on algorithms, which normally require the projection of pattern sequences with structured light. We use image sequences of the moving stripe lighting of the top view scanner instead of an additional light projection. Thus the stereo vision setup is simplified without losing measurement accuracy. Furthermore we improve a surface model dewarping method through introducing a difference vector based on real measurements. Although our proposed method is hardly expensive neither in calculation time nor in hardware requirements we present good dewarping results even for difficult examples.

Keywords: stereo vision, 3d surface reconstruction, dewarpingdocuments, book scanner

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333426

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1227

References:


[1] Donescu, A., Bouju, A., Quillet, V.: Former books digital processing: image warping. In: Proc. Workshop on Document Image Analysis. (1997) 5-9
[2] Yamashita, A., A.Kawarago, Kaneko, T., Miura, K.: Shape reconstruction and image restoration for non-flat surfaces of documents with a stereo vision system. In: Proc. of 17th International Conference on Pattern Recognition. Volume 1. (2004) 486-489
[3] Chu, K.B., Zhang, L., Zhang, Y., Tan, C.L.: A fast and stable approach for restoration of warped document images. In: Proceedings of the Eighth International Conference on Document Analysis and Recognition. (2005) 384-388
[4] Brown, M., Seales, W.: Image restoration of arbitrarily warped documents. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2004) 1295-1306
[5] Tan, C.L., Zhang, L., Zhang, Z., Xia, T.: Restoring warped document images through 3d shape modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2006) 195-208
[6] Ulges, A., Lampert, C.H., Breuel, T.M.: Document image dewarping using robust estimation of curled text lines. Proc. of 8th International Conference on Document Analysis and Recognition 0 (2005) 1001-1005
[7] Liang, J., Doermann, D., Li, H.: Camera-based analysis of text and documents: a survey. International Journal on Document Analysis and Recognition 7 (2005) 84-104
[8] Lilienblum, E., Michaelis, B.: Digitalisation of warped documents supported by 3d-surface reconstruction. In: The 5th International Conference on Computer Vision Systems Conference Paper. (2007) DOI: 10.2390/biecoll-icvs2007-69.
[9] Blais, F.: A review of 20 years of range sensor development. Journal of Electronic Imaging 13 (2004) 231-243
[10] Valkenburg, R.J., McIvor, A.M.: Accurate 3d measurement using a structured light system. Image and Vision Computing 16 (1998) 99- 110
[11] Albrecht, P., Michaelis, B.: Improvement of the spatial resolution of an optical 3-d measurement procedure. In: IEEE Transactions on Instrumentation and Measurement. Volume 47., Brisbane (1998) 158- 162
[12] Luhmann, T., Robson, S., Kyle, S., Harley, I.: Close Range Photogrammetry. Whittles Publishing (2006)
[13] Lilienblum, E., Michaelis, B.: Optical 3d surface reconstruction by a multi-period phase shift method. Journal of Computers (JCP) 2 (2007) 73-83
[14] Liang, J., DeMenthon, D., Doermann, D.: Geometric rectification of camera-captured document images. IEEE Transactions on Pattern Analysis and Machine Intelligence (2007) (PrePrint).
[15] Lilienblum, E., Michaelis, B.: Book scanner dewarping with weak 3d measurements and a simplified surface model. In: Discrete Geometry for Computer Imagery - DGCI 2008. Volume 4992 of LNCS. (2008) 529-540