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, Carnegie Mellon University

The computer vision and graphics communities use different techniques for the same purposes. Image-Based Modeling bridges the gap, enabling graphics researcher 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, it gives a more succinct treatment overall, and focuses primarily on vision geometry and 3D object modeling.

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 in 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.