English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Global motion estimation aims at estimating the whole image changes causing by camera moving. This paper presents a global motion estimation method based on Fourier-Mellin and Phase-Correlation. Rotational angle and scaling factor are acquired by Phase-Correlation between Fourier-Mellin transform images of the reference and current image. Log-Polar coordinates are used to the Flourier amplitude spectrum. Translational parameter is obtained using sub-block based on PhaseCorrelation. The proposed algorithm is robust to camera vibration or unwanted movement regardless of foreground object’s movement. Experimental results show that the proposed algorithm can efficiently and accurately estimate the parameter between two consecutive frames. Keywords-fourier-mellin; phase-correlation; global motion estimation; log-polar coordinate

Global Motion Estimation Based on Fourier Mellin and Phase Correlation