Image-Based Modeling
Springer-Verlag New York Inc.
978-1-4419-6678-0 (ISBN)
—Professor Takeo Kanade, Carnegie Mellon University
The computer vision and graphics communities use different terminologies for the same ideas. This book 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.
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 France, and has been a CNRS researcher at INRIA. Professor Quan is a Fellow of the IEEE Computer Society.
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.
Zusatzinfo | XVIII, 251 p. |
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Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Grafik / Design ► Film- / Video-Bearbeitung | |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | 3D modeling • GIS • Google Earth • homography • Image-based modeling • Image-Based Rendering • Photogrammetry • Segmentation • single-view modeling • Surface modeling • surface reconstruction • tree modeling • Vision Geometry |
ISBN-10 | 1-4419-6678-1 / 1441966781 |
ISBN-13 | 978-1-4419-6678-0 / 9781441966780 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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