12/14/2011

Image-Based Modeling Review

Image-Based Modeling
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I am very happy to see this book by my colleague now in print. Many of the results have been already familiar to me. It summarizes years' efforts by Prof Long Quan and his students on 3d reconstruction and modeling, a fundamental topic in vision, graphics and visualization.
The book is comprehensive in that it is well structured into three parts:
the first fundamental vision geometry, the computational part, and the final application of vision methods to many of modeling and reconstruction topics.
In particular, I very much appreciated the first geometry part, as a more graphics and non-vision researcher myself, it's hard to read too many publications in the vision geometry area that has been well searched in the past two decades. With about 40 pages in a single chapter, chapter 3, we could have an overview of the vision geometry and quickly grasp the most essential algorithms exposed to a larger audience in a concise manner. The part 3 is mostly a collection of recent publications of the author and his students.
Given the potential of Google earth and Virtual Earth's efforts of turning everything into three-dimensional, the techniques systematically described in this book will likely guide its development in the future. I strongly recommend this book as an excellent text for graduate students and also a very useful resource for researchers in this field.

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'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 UniversityThe 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.

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