Abstract
The aim of this work is to put together two methods in order to improve the solutions for the problem of 3D geometry reconstruction from a stereoscopic pair of images. We use a method that we have developed in recent works which is based on an energy minimisation technique. This energy yields a partial differential equation (PDE) and is well suited for accurately estimating the disparity maps. One of the problems of this kind of techniques is that it depends strongly on the initial approximation. For this reason we have used a method based on graph–cuts which has demonstrated to obtain good initial guess.
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References
L. Alvarez, R. Deriche, J. SÁnchez and J. Weickert. Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach. Journal of Visual Communication and Image Representation, 13, pp. 3-21. 2002.
L. Alvarez J. Weickert and J. SÁnchez. Reliable Estimation of Dense Optical Flow Fields with Large Displacements. International Journal of Computer Vision, 39, pp. 41-56, 2000.
V. Kolmogorov and R. Zabih, Computing Visual Correspondence with Occlusions using Graph Cuts. In International Conference on Computer Vision (ICCV), July 2001.
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Salgado, A., Sánchez, J. (2007). Combining Two Methods to Accurately Estimate Dense Disparity Maps. In: Filipe, J., Ferrier, JL., Cetto, J.A., Carvalho, M. (eds) Informatics in Control, Automation and Robotics II. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5626-0_17
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DOI: https://doi.org/10.1007/978-1-4020-5626-0_17
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-5625-3
Online ISBN: 978-1-4020-5626-0
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