Abstract
A method is described in this article to solve the stereo matching problem of general closed planar curves under possible imperfect segmentation and occlusions, provided that camera parameters are known. The method decomposes the parameters related to an object plane, i.e. slant, tilt and scale factor, and uses a histogram technique to estimate these parameters. The parameter estimation is based on the disparity information of the stereo curves. Point correspondence plays an important role in the method. We solve this problem in a dynamic programming style. The final matching is assessed by applying a distance transformation. The method has been applied successfully to several practical examples.
This research is partially supported by the NWO/SION project “Model Based Image Sequence Analysis”
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© 1995 Springer-Verlag Berlin Heidelberg
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Zhang, Y., Gerbrands, J.J. (1995). Matching of stereo curves — A closed form solution. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_298
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DOI: https://doi.org/10.1007/3-540-60298-4_298
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