Image-Based Modeling [electronic resource] /
Quan, Long.author.
“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.
Description based upon print version of record.
Includes bibliographical references and index.
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.
“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.
Computer graphics.
Signal processing.
Image processing.
Speech processing systems.
Pattern recognition.
Optical data processing.
Computer Graphics.
Signal, Image and Speech Processing.
Pattern Recognition.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Image Processing and Computer Vision.