EAN: 9783031003929

SYNTHESIS LECTURES ON ALGORITHMS AND SOFTWARE I...

Motion estimation is a long-standing cornerstone of image and video processing. Most notably 
motion estimation serves as the foundation for many of today's ubiquitous video coding
standards including H.264. Motion estimators also play key roles in countless other
applications that serve the consumer  industrial  biomedical  and military sectors. Of the many
available motion estimation techniques  optical flow is widely regarded as most flexible. The
flexibility offered by optical flow is particularly useful for complex registration and
interpolation problems  but comes at a considerable computational expense. As the volume and
dimensionality of data that motion estimators are applied to continue to grow  that expense
becomes more and more costly. Control grid motion estimators based on optical flow can
accomplish motion estimation with flexibility similar to pure optical flow  but at a fraction
of the computational expense. Control grid methods also offer the added benefit of representing
motion far more compactly than pure optical flow. This booklet explores control grid motion
estimation and provides implementations of the approach that apply to data of multiple
dimensionalities. Important current applications of control grid methods including registration
and interpolation are also developed. Table of Contents: Introduction   Control Grid
Interpolation (CGI)   Application of CGI to Registration Problems   Application of CGI to
Interpolation Problems   Discussion and Conclusions

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