Image-Based Modeling

“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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Quan, Long (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Quan, Long.  |e author. 
245 1 0 |a Image-Based Modeling  |h [electronic resource] /  |c by Long Quan. 
264 1 |a Boston, MA :  |b Springer US,  |c 2010. 
300 |a XVIII, 251 p.  |b online resource. 
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505 0 |a Geometry: 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 |a Computer science. 
650 0 |a Computer graphics. 
650 0 |a Image processing. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Graphics. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
650 2 4 |a Image Processing and Computer Vision. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781441966780 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4419-6679-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)