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100715s2010 xxu| s |||| 0|eng d |
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|a 9781441966797
|9 978-1-4419-6679-7
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|a 10.1007/978-1-4419-6679-7
|2 doi
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|a T385
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|a TA1637-1638
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|a 006.6
|2 23
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|a Quan, Long.
|e author.
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|a Image-Based Modeling
|c by Long Quan.
|h [electronic resource] /
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|a Boston, MA :
|b Springer US,
|c 2010.
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| 300 |
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|a XVIII, 251p. 67 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Introduction: a tour of 3D modeling -- Part I Geometry: fundamentals of multi-view geometry -- Geometry prerequisite -- Multi-view geometry -- Part II Computation: from pixels to 3D points -- Feature point -- Structure from Motion -- Part III Modeling: from 3D points to objects -- Surface modeling -- Hair modeling -- Tree modeling -- Faȧde modeling -- Building modeling -- List of Algorithms -- List of figures -- References -- Index.
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| 520 |
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|a <U+001c>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. <U+0014>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.
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| 650 |
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0 |
|a Computer science.
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| 650 |
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|a Computer vision.
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| 650 |
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|a Computer graphics.
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| 650 |
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|a Optical pattern recognition.
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| 650 |
1 |
4 |
|a Computer Science.
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| 650 |
2 |
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|a Computer Imaging, Vision, Pattern Recognition and Graphics.
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| 650 |
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4 |
|a Computer Graphics.
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| 650 |
2 |
4 |
|a Signal, Image and Speech Processing.
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| 650 |
2 |
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|a Image Processing and Computer Vision.
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| 650 |
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4 |
|a Pattern Recognition.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9781441966780
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| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-6679-7
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| 912 |
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
|