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Book scanner dewarping with weak 3d measurements and a simplified surface model. (English) Zbl 1138.68641

Coeurjolly, David (ed.) et al., Discrete geometry for computer imagery. 14th IAPR international conference, DGCI 2008, Lyon, France, April 16–18, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-79125-6/pbk). Lecture Notes in Computer Science 4992, 529-540 (2008).
Summary: For book scanner technologies projective distortions are the main problem. In general, the use of 3d measurements of a warped surface is the best way to remove the projective distortions. But if the quality of the 3d measurements is very low, it is difficult to get satisfying dewarping results. In our paper we present a new technique handling this problem by introducing a simplified surface model. We use this model as a basis to compute a linear approximation parallel to the geometrical position of the book crease. The resulting method leads to a robust and fast computation. It provides us with a reliable dewarping output even for weak measurements given by a light sectioning method of top view scanners.
For the entire collection see [Zbl 1134.68004].

MSC:

68U10 Computing methodologies for image processing
68U05 Computer graphics; computational geometry (digital and algorithmic aspects)
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[1] Wada, T.; Ukida, H.; Matsuyama, T., Shape from shading with interreflections under a proximal light source: Distorsion-free copying of an unfolded book, International Journal of Computer Vision, 24, 2, 125-135 (1997) · doi:10.1023/A:1007906904009
[2] 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, 2, 195-208 (2006) · doi:10.1109/TPAMI.2006.40
[3] Wu, C., Agam, G.: Document image de-warping for text/graphics recognition. In: Proc. of Joint IAPR and SPR, pp. 348-357 (2002) · Zbl 1073.68810
[4] Zhang, Z., Tan, C.L.: Correcting document image warping based on regression of curved text lines. In: Proc. of 7th International Conference on Document Analysis and Recognition, vol. 1, pp. 589-595 (2003)
[5] 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, 1001-1005 (2005), Washington, DC: IEEE Computer Society, Washington, DC
[6] Rebmann, R.; Michaelis, B.; Krell, G.; Seiffert, U.; Püschel, F.; Dengel, A.; Junker, M.; Weisbecker, A., Improving image processing systems by artificial neural networks, Reading and Learning, 37-64 (2004), Heidelberg: Springer, Heidelberg
[7] Frei, B.: Method and device for the correction of a scanned image. Patent US020050053304A1 (2002)
[8] Donescu, A., Bouju, A., Quillet, V.: Former books digital processing: image warping. In: Proc. Workshop on Document Image Analysis, pp. 5-9 (1997)
[9] Yamashita, A.; Kawarago, A.; Kaneko, T.; Miura, K., Shape reconstruction and image restoration for non-flat surfaces of documents with a stereo vision system, Proc. of 17th International Conference on Pattern Recognition, 486-489 (2004), Washington, DC: IEEE Computer Society, Washington, DC · doi:10.1109/ICPR.2004.1334171
[10] Chu, K. B.; Zhang, L.; Zhang, Y.; Tan, C. L., A fast and stable approach for restoration of warped document images, Proceedings of the Eighth International Conference on Document Analysis and Recognition, 384-388 (2005), Washington, DC: IEEE Computer Society, Washington, DC
[11] Klette, R.; Koschan, A.; Schlüns, K., Copmuter Vision: Three-Dimensional Data from Images (1998), Heidelberg: Springer, Heidelberg · Zbl 0917.68219
[12] Brown, M.; Seales, W., Image restoration of arbitrarily warped documents, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 10, 1295-1306 (2004) · doi:10.1109/TPAMI.2004.87
[13] Liang, J., DeMenthon, D., Doermann, D.: Flattening curved documents in images. In: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 338-345 (2005)
[14] Liang, J., DeMenthon, D., Doermann, D.: Geometric rectification of camera-captured document images. IEEE Transactions on Pattern Analysis and Machine Intelligence (Preprint, 2007)
[15] 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
[16] Lilienblum, E., Michaelis, B., Schnitzlein, M.: Verfahren zum Entzerren einer mittels einer Scanneinrichtung eingescannten zweidimensionalen Abbildung einer nicht ebenflächigen Vorlage. German patent, No. 102006032533 (2006)
[17] Shirai, Y., Recognition of polyhedrons with a range finder, Pattern Recognition, 4, 243-250 (1972) · doi:10.1016/0031-3203(72)90003-9
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