| 000 | 03551nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01520-5 | ||
| 003 | DE-He213 | ||
| 005 | 20240730164327.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2013 sz | s |||| 0|eng d | ||
| 020 |
_a9783031015205 _9978-3-031-01520-5 |
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| 024 | 7 |
_a10.1007/978-3-031-01520-5 _2doi |
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| 050 | 4 | _aTK5102.9 | |
| 072 | 7 |
_aTJF _2bicssc |
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_aUYS _2thema |
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| 082 | 0 | 4 |
_a621,382 _223 |
| 100 | 1 |
_aZwart, Christine M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983922 |
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| 245 | 1 | 0 |
_aControl Grid Motion Estimation for Efficient Application of Optical Flow _h[electronic resource] / _cby Christine M. Zwart, David Frakes. |
| 250 | _a1st ed. 2013. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2013. |
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| 300 |
_aVIII, 79 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Algorithms and Software in Engineering, _x1938-1735 |
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| 505 | 0 | _aIntroduction -- Control Grid Interpolation (CGI) -- Application of CGI to Registration Problems -- Application of CGI to Interpolation Problems -- Discussion and Conclusions. | |
| 520 | _aMotion 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. | ||
| 650 | 0 |
_aSignal processing. _94052 |
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| 650 | 1 | 4 |
_aSignal, Speech and Image Processing. _931566 |
| 700 | 1 |
_aFrakes, David. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983923 |
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| 710 | 2 |
_aSpringerLink (Online service) _983925 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031003929 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031026485 |
| 830 | 0 |
_aSynthesis Lectures on Algorithms and Software in Engineering, _x1938-1735 _983927 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01520-5 |
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| 942 | _cEBK | ||
| 999 |
_c85584 _d85584 |
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