Quan Image-Based Modeling

1. Auflage 2010
ISBN: 978-1-4419-6679-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 251 Seiten, eBook

“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

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.

Zielgruppe

Research

Autoren/Hrsg.

Quan, Long

Inhaltsverzeichnis

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.

Über Autor(innen)

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.