Disparity using feature points in multi scale

2002-01-01
© Springer-Verlag Berlin Heidelberg 2002.In this paper we describe a statistical framework for binocular disparity estimation. We use a bank of Gabor filters to compute multiscale phase signatures at detected feature points. Using a von Mises distribution, we calculate correspondence probabilities for the feature points in different images using the phase differences at different scales. The disparity map is computed using the set of maximum likelihood correspondences.
Joint IAPR International Workshops SSPR 2002 And SPR 2002

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Citation Formats
İ. Ulusoy and U. Halıcı, “Disparity using feature points in multi scale,” Windsor, Ontario, Canada, 2002, vol. 2396, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57765.