Motion Perception Based on Statistics of Phases

Abstract:

A motion perception model based on the relative phase is proposed in this paper. Firstly we use bilinear representation based on DTCW to derive the phase information on each subband for image series. The relationship between phase shift and edge position is theoretically proved and the distribution of relative phase is carefully explored. Numerical experiments show that the distribution of relative phase may make up the limitations of phases in providing motion information. The new proposed model is quite robust to changing contrast, complex edges and severe noise.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3487-3491
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3487
• Online since: May 2014
• Authors: Hong Xia Wang*, Bo Chen, Hao Xing Yang
• Keywords: DTCW, Mobius Transform, Motion Perception, Phase, Relative Phase

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