Abstract
The focus of this article is the analysis of corresponding pixel neighborhoods in two stereo pair images. A nonlinear structure present in the form of multiplicative pixel interactions is investigated with polynomial Volterra predicting model. The difference in efficiency of central pixel prediction on subsequent images is the base for quantifying uncertainty introduced with second camera offset. The main contribution of this article are experimental results and the discussion of applying implicit polynomial models based on reproducing kernel regression to the Amsterdam Library of Object Images database stereo image set.
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Glomb, P. (2007). Local Analysis of Stereo Image Pairs with Polynomial Series. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_15
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DOI: https://doi.org/10.1007/978-3-540-75175-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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