Disparity using feature points in multi scale

Date

2002-01-01

Author

Ulusoy, İlkay
Halıcı, Uğur

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© 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.

Subject Keywords

Feature point, Population vector, Binocular disparity, Multi scale, Stereo correspondence

URI

https://hdl.handle.net/11511/57765

DOI

https://doi.org/10.1007/3-540-70659-3_33

Conference Name

Joint IAPR International Workshops SSPR 2002 And SPR 2002

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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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.