Image-Based Modeling
Autor Long Quanen Limba Engleză Hardback – 22 iul 2010
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Specificații
ISBN-13: 9781441966780
ISBN-10: 1441966781
Pagini: 272
Ilustrații: XVIII, 251 p.
Dimensiuni: 160 x 241 x 23 mm
Greutate: 0.57 kg
Ediția:2010
Editura: Springer
Locul publicării:New York, NY, United States
ISBN-10: 1441966781
Pagini: 272
Ilustrații: XVIII, 251 p.
Dimensiuni: 160 x 241 x 23 mm
Greutate: 0.57 kg
Ediția:2010
Editura: Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.
Notă biografică
Sing Bing Kang received his Ph.D. in robotics from Carnegie Mellon University, Pittsburgh in 1994. He is Principal Researcher at Microsoft Corporation and adjunct faculty member of the School of Interactive Computing at Georgia Tech. His interests are image-based modeling as well as image and video enhancement. Sing Bing has co-edited two books in computer vision ("Panoramic Vision" and "Emerging Topics in Computer Vision"), and coauthored a book on image-based rendering. He has served as area chair and member of technical committee for the three major computer vision conferences, namely International Conference on Computer Vision (ICCV), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), and European Conference on Computer Vision (ECCV). He was program co-chair for CVPR 2009, and has served as papers committee member for SIGGRAPH 2007, SIGGRAPH Asia 2008, and SIGGRAPH 2009. Sing Bing is currently an Associate Editor for IEEE TPAMI and Associate Editor-in-Chief for IPSJTransactions on Computer Vision and Applications. Moving back to Hong Kong in 2001, he has been a French CNRS senior research scientist at INRIA in Grenoble. His research interests are focused on 3D reconstruction, structure from motion, vision geometry, and image-based modeling. He has served as an Associate Editor of PAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence) and as a Regional Editor of IVC (Image and Vision Computing Journal). He is currently on the editorial board of IJCV (the International Journal of Computer Vision), ELCVIA (the Electronic Letters on Computer Vision and Image Analysis), MVA (Machine Vision and Applications) and Foundations and Trends in Computer Graphics and Vision. He has served as area chair for ICCV (International Conference on Computer Vision), ECCV (European Conference on Computer Vision), and CVPR (IEEE Computer Vision and Pattern Recognition) and ICPR (IAPR International Conference on Pattern Recognition). He was a Program Chairof ICPR 2006 Computer Vision and Image Analysis, and is a General Chair of ICCV 2011 in Barcelona.
Textul de pe ultima copertă
“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:
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.
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
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.