| 商家名称 | 信用等级 | 购买信息 | 订购本书 |
 |
 |
Image-Based Modeling |  |
 |
|
Image-Based Modeling | |
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.
目录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.- Fa?ade modeling.- Building modeling.
网友对Image-Based Modeling的评论
This book covers the basic topics of modeling from images in vision and summarizes a series of works by the author in graphics community (like Siggraph, Siggraph Asia). As a graphics researcher, I can easily follow the basic ideas of the vision methods of recovering 3D points and geometry from the input image(s).
The first part of this book is about multi-view geometry. Although it is rather compact, but all the fundamental geometry materials are well summarized. Actually, I can learn more details from Hartley and Zisserman's book on multiple view geometry which is more concentrated on the geometry part.
The other parts of the book discuss about how to create the 3D content from images. The basic ideas I learnt is that basically the general 3D reconstruction problem from images might be ill-posed and be hard to handled. However, using some good shape priors it could be possibly addressed in practice. This series of works tell us how to make it and I believe there will be more work along this direction.
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.
喜欢Image-Based Modeling请与您的朋友分享,由于版权原因，读书人网不提供图书下载服务
