Abstract
We present a method to capture sharp barcode images, using a microlens-based light field camera. Relative to standard barcode readers, which typically use fixed-focus cameras in order to reduce mechanical complexity and shutter lag, employing a light field camera significantly increases the scanner’s depth of field. However, the increased computational complexity that comes with software-based focusing is a major limitation on these approaches. Whereas traditional light field rendering involves time-consuming steps intended to produce a focus stack in which all objects appear sharply-focused, a scanner only needs to produce an image of the barcode region that falls within the decoder’s inherent robustness to defocus. With this in mind, we speed up image processing by segmenting the barcode region before refocus is applied. We then estimate the barcode’s depth directly from the raw sensor image, using a lookup table characterizing a relationship between depth and the code’s spatial frequency. Real image experiments with the Lytro camera illustrate that our system can produce a decodable image with a fraction of the computational complexity.
Chapter PDF
Similar content being viewed by others
References
Chai, D., Hock, F.: Locating and decoding ean-13 barcodes from images captured by digital cameras. In: 2005 Fifth International Conference on Information, Communications and Signal Processing, pp. 1595–1599 (2005)
Dansereau, D., Bruton, L.: Gradient-based depth estimation from 4d light fields. In: Proceedings of the 2004 International Symposium on Circuits and Systems ISCAS 2004, vol. 3, pp. 549–552 (2004)
Dansereau, D., Pizarro, O., Williams, S.: Decoding, calibration and rectification for lenselet-based plenoptic cameras. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1027–1034 (2013)
Fiss, J., Curless, B., Szeliski, R.: Refocusing plenoptic images using depth-adaptive splatting. In: International Conference on Computational Photography (ICCP 2014). IEEE Computer Society (2014)
Gallo, O., Manduchi, R.: Reading 1d barcodes with mobile phones using deformable templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(9), 1834–1843 (2011)
Georgiev, T., Yu, Z., Lumsdaine, A., Goma, S.: Lytro camera technology: theory, algorithms, performance analysis. In: Proc. SPIE 8667 (2013)
Gortler, S.J., Grzeszczuk, R., Szeliski, R., Cohen, M.F.: The lumigraph. In: SIGGRAPH 1996, pp. 43–54 (1996)
Levoy, M., Hanrahan, P.: Light field rendering. In: SIGGRAPH 1996, pp. 31–42 (1996)
Muniz, R., Junco, L., Otero, A.: A robust software barcode reader using the hough transform. In: Proceedings of the 1999 International Conference on Information Intelligence and Systems, pp. 313–319 (1999)
Ng, R., Levoy, M., Bredif, M., Duval, G., Horowitz, M., Hanrahan, P.: Light field photography with a hand-held plenoptic camera. Stanford University Computer Science Tech. Report 2, 1–11 (2005)
Tao, M.W., Hadap, S., Malik, J., Ramamoorthi, R.: Depth from combining defocus and correspondence using light-field cameras. In: Proceedings of the 2013 IEEE International Conference on Computer Vision, pp. 673–680 (2013)
Vaish, V., Wilburn, B., Joshi, N., Levoy, M.: Using plane + parallax for calibrating dense camera arrays. In: 2004 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2–9 (2004)
Wanner, S., Goldluecke, B.: Variational light field analysis for disparity estimation and super-resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(3), 606–619 (2014)
Xu, W., McCloskey, S.: 2d barcode localization and motion deblurring using a flutter shutter camera. In: 2011 IEEE Workshop on Applications of Computer Vision (WACV), pp. 159–165 (2011)
Yu, Z., Guo, X., Ling, H., Lumsdaine, A., Yu, J.: Line assisted light field triangulation and stereo matching. In: Proceedings of the 2013 IEEE International Conference on Computer Vision, pp. 2792–2799. ICCV 2013 (2013)
Zhang, C., Wang, J., Han, S., Yi, M., Zhang, Z.: Automatic real-time barcode localization in complex scenes. In: 2006 IEEE International Conference on Image Processing, pp. 497–500 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Guo, X., Lin, H., Yu, Z., McCloskey, S. (2015). Barcode Imaging Using a Light Field Camera. In: Agapito, L., Bronstein, M., Rother, C. (eds) Computer Vision - ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science(), vol 8926. Springer, Cham. https://doi.org/10.1007/978-3-319-16181-5_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-16181-5_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16180-8
Online ISBN: 978-3-319-16181-5
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
