1 April 2000 Motion stereo based on Fourier local phase adaptive matching
Author Affiliations +
Optical Engineering, 39(4), (2000). doi:10.1117/1.602466
A computationally efficient pyramid adaptive algorithm based on Fourier local phase matching is proposed to compute precise depth estimates for motion stereo. In general, the motion stereo uses intensity value as the matching primitive. To decrease the computational depth error, when the brightness of each moving picture is highly variable, we developed a method for motion stereo using the phase of Gabor filters instead of intensity. To implement the motion stereo more efficiently, a hierarchical method is also used, consisting of pyramidal data sequences. We present the experimental results demonstrating that our method gives more accurate depth estimates than the motion stereo algorithm based on intensity matching.
Moon Soo Park, Do-Kyoon Kim, Kyoung Sig Roh, Tae-Sun Choi, "Motion stereo based on Fourier local phase adaptive matching," Optical Engineering 39(4), (1 April 2000). http://dx.doi.org/10.1117/1.602466

Image filtering

Computer programming

Electronic filtering

Fourier transforms

Motion estimation

Optical engineering

Phase matching

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