Abstract
Disparity estimation is a fundamental problem of computer vision. Besides other approaches, disparity estimation from phase information is a quite wide-spread technique. In the present paper, we have considered the influence of the involved quadrature filters and we have replaced them with filters based on the monogenic signal. The implemented algorithm makes use of a scale-pyramid and applies channel encoding for the representation and fusion of the estimated data. The performed experiments show a significant improvement of the results.
This work has been supported by DFG Grant FE 583/1–1.
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Felsberg, M. (2002). Disparity from Monogenic Phase. In: Van Gool, L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45783-6_30
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DOI: https://doi.org/10.1007/3-540-45783-6_30
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