Abstract
By watching the reflection in the glass window, one can often observe a two-layered image consisting of a front-surface reflection from a glass and a rear-surface reflection through the glass. The transparent glass plate reflects and transmits the incident light from its front surface. The transmitted light is then reflected from the rear surface and is transmitted again to the air through the front surface. These two light paths create a layered image comprising two identical images with a specific displacement depending on the object range. Estimating the object range requires the accurate detection of the image shift in the layered image. This paper presents a study of the shift estimation method using Fourier transformation of the layered image. The maximum location in the Fourier transform of the Fourier power spectrum of the layered image indicates the image shift. Experimental results demonstrate the effectiveness of the method compared with a method using an autocorrelation function.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cannon, M.: Blind deconvolution of spatially invariant image blurs with phase. Acoustics, Speech, and Signal Processing 24(1), 58–63 (1076)
Childers, D.G., Skinner, D.P., Kemerait, R.C.: The cepstrum: a guide to processing. Proc. of the IEEE 65(10), 1428–1443 (1977)
Diamant, Y., Schechner, Y.Y.: Overcoming visual reverberations. In: CVPR (2008)
Gao, C., Ahuja, N.: A refractive camera for acquiring stereo and super-resolution images. In: CVPR, pp. 2316–2323 (2006)
Gennery, D.B.: Determination of optical transfer function by inspection of frequency-domain plot. Journal of the Optical Society of America 63(12), 1571–1577 (1973)
Gluckman, J.M., Nayar, S.K.: Catadioptric stereo using planar mirrors. IJCV 44(1), 65–79 (2001)
Harris, F.J.: On the use of windows for harmonic analysis with the discrete Fourier transform. Proc. of the IEEE 66(1), 51–83 (1978)
Lee, D.J., Krile, T.F., Mitra, S.: Power cepstrum and spectrum techniques applied to image registration. Applied Optics 27(6), 1099–1106 (1988)
Miyazaki, D., Ikeuchi, K.: Shape estimation of transparent objects using inverse polarization ray tracing. PAMI 29(11), 2018–2029 (2007)
Oppenheim, A.V., Schafer, R.W.: From frequency to quefrency: a history of the cepstrum. IEEE Signal Processing Magazine 21(5), 95–106 (2004)
Pachidis, T.P., Lygouras, J.N.: Pseudo-stereo vision system: a detailed study. Journal of Intelligent and Robotic Systems 42(2), 135–167 (2005)
Shimizu, M., Okutomi, M.: Reflection stereo – novel monocular stereo using a transparent plate. In: Canadian conference on computer and robot vision, CRV (2006)
Shimizu, M., Okutomi, M.: Calibration and rectification for reflection stereo. In: CVPR (2008)
Sun, C.: Fast algorithms for stereo matching and motion estimation. In: Australia–Japan Advanced Workshop on Computer Vision, pp. 38–48 (2003)
Whitted, T.: An improved illumination model for shaded display. Communications of the ACM 23(6), 343–349 (1980)
Yeshurun, Y., Schwartz, E.L.: Cepstral filtering on a columnar image architecture: a fast algorithm for binocular stereo segmentation. PAMI 11(7), 759–767 (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shimizu, M., Okutomi, M., Jiang, W. (2010). Disparity Estimation in a Layered Image for Reflection Stereo. In: Zha, H., Taniguchi, Ri., Maybank, S. (eds) Computer Vision – ACCV 2009. ACCV 2009. Lecture Notes in Computer Science, vol 5996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12297-2_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-12297-2_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12296-5
Online ISBN: 978-3-642-12297-2
eBook Packages: Computer ScienceComputer Science (R0)