000 | 03136nam a22004935i 4500 | ||
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001 | u371721 | ||
003 | SIRSI | ||
005 | 20160812080144.0 | ||
007 | cr nn 008mamaa | ||
008 | 100715s2010 xxu| s |||| 0|eng d | ||
020 |
_a9781441966797 _9978-1-4419-6679-7 |
||
040 | _cMX-MeUAM | ||
050 | 4 | _aT385 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.P3 | |
082 | 0 | 4 |
_a006.6 _223 |
100 | 1 |
_aQuan, Long. _eauthor. |
|
245 | 1 | 0 |
_aImage-Based Modeling _h[recurso electrónico] / _cby Long Quan. |
264 | 1 |
_aBoston, MA : _bSpringer US, _c2010. |
|
300 |
_aXVIII, 251 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
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505 | 0 | _aGeometry: fundamentals of multi-view geometry -- Geometry prerequisite -- Multi-view geometry -- Computation: from pixels to 3D points -- Feature point -- Structure from Motion -- Modeling: from 3D points to objects -- Surface modeling -- Hair modeling -- Tree modeling -- Façade modeling -- Building modeling. | |
520 | _a“This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University About this book: The computer vision and graphics communities use different terminologies for the same ideas This books provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa Independence of chapters allows readers to directly jump into a specific chapter of interest Compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry. About the Author: Long Quan is a Professor of the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. He received a Ph.D. degree in Computer Science from INRIA, and has been a CNRS researcher at INRIA. Professor Quan is a Fellow of the IEEE Computer Society. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer vision. | |
650 | 0 | _aComputer graphics. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
650 | 2 | 4 | _aComputer Graphics. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aImage Processing and Computer Vision. |
650 | 2 | 4 | _aPattern Recognition. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781441966780 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-6679-7 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c199601 _d199601 |