Probabilistic phase based sparse stereo

Date

2004-08-26

Author

ULUSOY PARNAS, İLKAY
Halıcı, Uğur
HANCOCK, EDWIN

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In this study, a multi-scale phase based sparse disparity algorithm and a probabilistic model for matching are proposed. The disparity algorithm and the probabilistic approach are verified on various stereo image pairs.

Subject Keywords

DISPARITY

URI

https://hdl.handle.net/11511/39462

DOI

https://doi.org/10.1109/icpr.2004.1333711

Conference Name

17th International Conference on Pattern Recognition (ICPR)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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A Probabilistic approach to sparse multi scale phase based stereo ULUSOY PARNAS, İLKAY; Halıcı, Uğur; HANCOCK, EDWIN (2004-04-30) In this study, a multi-scale phase based sparse disparity algorithm and a probabilistic model for matching are proposed. The disparity algorithm and the probabilistic approach are verified on various stereo image pairs.
A statistical approach to sparse multi-scale phase-based stereo Ulusoy, İlkay (Elsevier BV, 2007-09-01) In this study, a multi-scale phase based sparse disparity algorithm and a probabilistic model for matching uncertain phase are proposed. The features used are oriented edges extracted using steerable filters. Feature correspondences are estimated using phase-similarity at multiple scale using a magnitude weighting scheme. In order to achieve sub-pixel accuracy in disparity, we use a fine tuning procedure which employs the phase difference between corresponding feature points. We also derive a probabilistic ...
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Citation Formats

İ. ULUSOY PARNAS, U. Halıcı, and E. HANCOCK, “Probabilistic phase based sparse stereo,” presented at the 17th International Conference on Pattern Recognition (ICPR), British Machine Vis Assoc, Cambridge, ENGLAND, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39462.