000 | 03484nam a22005295i 4500 | ||
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001 | 978-3-031-01810-7 | ||
003 | DE-He213 | ||
005 | 20240730164228.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2011 sz | s |||| 0|eng d | ||
020 |
_a9783031018107 _9978-3-031-01810-7 |
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024 | 7 |
_a10.1007/978-3-031-01810-7 _2doi |
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050 | 4 | _aTA1501-1820 | |
050 | 4 | _aTA1634 | |
072 | 7 |
_aUYT _2bicssc |
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072 | 7 |
_aCOM016000 _2bisacsh |
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072 | 7 |
_aUYT _2thema |
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082 | 0 | 4 |
_a006 _223 |
100 | 1 |
_aSalzmann, Mathieu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983143 |
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245 | 1 | 0 |
_aDeformable Surface 3D Reconstruction from Monocular Images _h[electronic resource] / _cby Mathieu Salzmann, Pascal Fua. |
250 | _a1st ed. 2011. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2011. |
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300 |
_aXIII, 99 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 Computer Vision, _x2153-1064 |
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505 | 0 | _aIntroduction -- Early Approaches to Non-Rigid Reconstruction -- Formalizing Template-Based Reconstruction -- Performing Template-Based Reconstruction -- Formalizing Non-Rigid Structure from Motion -- Performing Non-Rigid Structure from Motion -- Future Directions. | |
520 | _aBeing able to recover the shape of 3D deformable surfaces from a single video stream would make it possible to field reconstruction systems that run on widely available hardware without requiring specialized devices. However, because many different 3D shapes can have virtually the same projection, such monocular shape recovery is inherently ambiguous. In this survey, we will review the two main classes of techniques that have proved most effective so far: The template-based methods that rely on establishing correspondences with a reference image in which the shape is already known, and non-rigid structure-from-motion techniques that exploit points tracked across the sequences to reconstruct a completely unknown shape. In both cases, we will formalize the approach, discuss its inherent ambiguities, and present the practical solutions that have been proposed to resolve them. To conclude, we will suggest directions for future research. Table of Contents: Introduction / Early Approaches toNon-Rigid Reconstruction / Formalizing Template-Based Reconstruction / Performing Template-Based Reconstruction / Formalizing Non-Rigid Structure from Motion / Performing Non-Rigid Structure from Motion / Future Directions. | ||
650 | 0 |
_aImage processing _xDigital techniques. _94145 |
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650 | 0 |
_aComputer vision. _983145 |
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650 | 0 |
_aPattern recognition systems. _93953 |
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650 | 1 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aComputer Vision. _983147 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
700 | 1 |
_aFua, Pascal. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983149 |
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710 | 2 |
_aSpringerLink (Online service) _983153 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031006821 |
776 | 0 | 8 |
_iPrinted edition: _z9783031029387 |
830 | 0 |
_aSynthesis Lectures on Computer Vision, _x2153-1064 _983154 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01810-7 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c85459 _d85459 |