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Visualizing Quaternions [Anglais] [Relié]

Andrew J. Hanson

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Description de l'ouvrage

6 février 2006 The Morgan Kaufmann Series in Interactive 3D Technology
Introduced 160 years ago as an attempt to generalize complex numbers to higher dimensions, quaternions are now recognized as one of the most important concepts in modern computer graphics. They offer a powerful way to represent rotations and compared to rotation matrices they use less memory, compose faster, and are naturally suited for efficient interpolation of rotations. Despite this, many practitioners have avoided quaternions because of the mathematics used to understand them, hoping that some day a more intuitive description will be available.
The wait is over. Andrew Hanson's new book is a fresh perspective on quaternions. The first part of the book focuses on visualizing quaternions to provide the intuition necessary to use them, and includes many illustrative examples to motivate why they are important-a beautiful introduction to those wanting to explore quaternions unencumbered by their mathematical aspects. The second part covers the all-important advanced applications, including quaternion curves, surfaces, and volumes. Finally, for those wanting the full story of the mathematics behind quaternions, there is a gentle introduction to their four-dimensional nature and to Clifford Algebras, the all-encompassing framework for vectors and quaternions.

* Richly illustrated introduction for the developer, scientist, engineer, or student in computer graphics, visualization, or entertainment computing.
* Covers both non-mathematical and mathematical approaches to quaternions.
* Companion website with an assortment of quaternion utilities and sample code, data sets for the book's illustrations, and Mathematica notebooks with essential algebraic utilities.

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Revue de presse

"Almost all computer graphics practitioners have a good grasp of the 3D Cartesian space. However, in many graphics applications, orientations and rotations are equally important, and the concepts and tools related to rotations are less well-known.
Quaternions are the key tool for understanding and manipulating orientations and rotations, and this book does a masterful job of making quaternions accessible. It excels not only in its scholarship, but also provides enough detailed figures and examples to expose the subtleties encountered when using quaternions. This is a book our field has needed for twenty years and I'm thrilled it is finally here.”
—Peter Shirley, Professor, University of Utah

"This book contains all that you would want to know about quaternions, including a great many things that you don't yet realize that you want to know!”
—Alyn Rockwood, Vice President, ACM SIGGRAPH

"We need to use quaternions any time we have to interpolate orientations, for animating a camera move, simulating a rollercoaster ride, indicating fluid vorticity or displaying a folded protein, and it's all too easy to do it wrong. This book presents gently but deeply the relationship between orientations in 3D and the differential geometry of the three-sphere in 4D that we all need to understand to be proficient in modern science and engineering, and especially computer graphics.”
—John C. Hart, Associate Professor, Department of Computer Science, University of Illinois Urbana-Champaign, and Editor-in-Chief, ACM Transactions on Graphics

"Visualizing Quaternions is a comprehensive, yet superbly readable introduction to the concepts, mechanics, geometry, and graphical applications of Hamilton's lasting contribution to the mathematical description of the real world. To write effectively on this subject, an author has to be a mathematician, physicist and computer scientist; Hanson is all three.
Still, the reader can afford to be much less learned since the patient and detailed explanations makes this book an easy read.”
—George K. Francis, Professor, Mathematics Department, University of Illinois at Urbana-Champaign

"The new book, Visualizing Quaternions, will be welcomed by the many fans of Andy Hanson's SIGGRAPH course.”
—Anselmo Lastra, University of North Carolina at Chapel Hill

"Andy Hanson's expository yet scholarly book is a stunning tour de force; it is both long overdue, and a splendid surprise! Quaternions have been a perennial source of confusion for the computer graphics community, which sorely needs this book. His enthusiasm for and deep knowledge of the subject shines through his exceptionally clear prose, as he weaves together a story encompassing branches of mathematics from group theory to differential geometry to Fourier analysis. Hanson leads the reader through the thicket of interlocking mathematical frameworks using visualization as the path, providing geometric interpretations of quaternion properties.
The first part of the book features a lucid explanation of how quaternions work that is suitable for a broad audience, covering such fundamental application areas as handling camera trajectories or the rolling ball interaction model. The middle section will inform even a mathematically sophisticated audience, with careful development of the more subtle implications of quaternions that have often been misunderstood, and presentation of less obvious quaternion applications such as visualizing vector field streamlines or the motion envelope of the human shoulder joint. The book concludes with a bridge to the mathematics of higher dimensional analogues to quaternions, namely octonians and Clifford algebra, that is designed to be accessible to computer scientists as well as mathematicians.”
—Tamara Munzner, University of British Columbia

Biographie de l'auteur

Andrew J. Hanson is a professor of computer science at Indiana University in Bloomington, Indiana, and has taught courses in computer graphics, computer vision, programming languages, and scientific visualization. He received a BA in chemistry and physics from Harvard College and a PhD in theoretical physics from MIT. Before coming to Indiana University, he did research in theoretical physics at the Institute for Advanced Study, Cornell University, the Stanford Linear Accelerator Center, and the Lawrence-Berkeley Laboratory, and then in computer vision at the SRI Artificial Intelligence Center in Menlo Park, CA. He has published a wide variety of technical articles concerning problems in theoretical physics, machine vision, computer graphics, and scientific visualization methods. His current research interests include scientific visualization (with applications in mathematics, cosmology and astrophysics, special and general relativity, and string theory), optimal model selection, machine vision, computer graphics, perception, collaborative methods in virtual reality, and the design of interactive user interfaces for virtual reality and visualization applications.

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Quaternions arose historically from Sir William Rowan Hamilton's attempts in the midnineteenth century to generalize complex numbers in some way that would be applicable to three-dimensional (3D) space. Lire la première page
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Couverture | Copyright | Table des matières | Extrait | Index
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Amazon.com: 4.5 étoiles sur 5  4 commentaires
27 internautes sur 29 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Worth a look 10 juillet 2008
Par Larry Musa - Publié sur Amazon.com
Format:Relié|Achat authentifié par Amazon
This is a very interesting book in the Morgan Kaufmann series, and will appeal to those with a mathematical bent. Visualizing quaternions is broken into three parts. Part 1 treats the elements of quaternions, and parts 2 and 3 treats advanced mathematical topics that place considerably more demands on the reader's mathematical knowledge (and also on the author).
Part 1 is an introduction for those readers new to the topic. As far as introductions go, it is not too bad. It does in fact contain one important subject - quaternion interpolation - that is not always covered in other texts. Hanson covers interpolation in part 1 and again in part 2. If your interest is computer animation, this may be sufficient reason to acquire the book...analogous to purchasing an album just to get one song. However, if you are completely new to quaternions and want to develop a firm intuition grounded in first principles, then a book that is at least an order of magnitude better is "Quaternions and Rotation Sequences" by J. B. Kuipers.

Parts 2 and 3 are the most interesting parts of the book. Hanson presents a series of small chapters that discuss quaternions from different advanced mathematical viewpoints (differential geometry, group theory, Clifford algebras, octonions). The chapters are small, and so they by necessity contain references to the literature where the considerable background material required for understanding the topics is developed. If you have a good background in differential geometry and some abstract algebra, then the chapters are quite nice. In this sense, parts 2 and 3 of the book are more appropriate for mathematicians.

The technique of including routine, "turn the crank" type of calculations in the text, and deferring the sometimes considerable details and theory to references allows Hanson to cover more topics than usual. However, it is exactly those details that distinguish between what is useful and well conceived mathematical theory from mathematical gibberish. Deferring details to the literature can also encourage an over-reaching of the author beyond his understanding of the material. Hanson has walked a fine line here, but still I must mention two issues that I found annoying:

1) A Riemannian manifold is not specified only by giving the charts ("local patches") as Hanson seems to think on page 352. One must also add constraints on the topology -- typically Hausdorff with a countable basis of open sets. These are not just moot considerations; the topology allows a construction of a partition of unity which in turns guarantees the existence of the Riemannian metric. In particular, the mild condition of paracompactness will ensure the existence of the partition of unity.

2) It is a gross over-simplification, and mathematically non-trivial, to claim the basis vectors of Euclidean space have precise analogs in Fourier transform theory, as Hanson does on page 340. Heuristic analogs...yes... but precise analogs?...only if one has developed the necessary mathematical machinery using the theory of distributions. The inner product relation ei.ej = kronecker delta ij given by Hanson on page 340 would have to be generalized to a delta function. It was one of the major accomplishments of 20th century mathematics that Schwartz was able to put the delta function on a firm mathematical basis with his theory of distributions (for which he received the Fields medal) Before Schwartz, delta functions were at best a useful computational tool in the hands of physicists like Dirac who were guided by their physical intuition, and at worst, an example of the mathematical gibberish alluded to earlier.

In short, this is a good book for those with the mathematical prerequisites. Those with a more traditional background in computer science might be advised to first peruse a copy at their local bookstore to verify it matches their interests.
16 internautes sur 22 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Beautiful book, decent content 12 mai 2007
Par Brian Beckman - Publié sur Amazon.com
Format:Relié
Beautiful production (typesetting, graphics, layout). The mathematics is on the informal, intuitive side. I consider this a luxury purchase, not an essential part of one's hardcore math library library. Somewhere on the shelf next to Tufte's books on visualization of data.
1 internautes sur 6 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Good quaternion book 2 juillet 2011
Par Mike - Publié sur Amazon.com
Format:Relié|Achat authentifié par Amazon
This is a good book about quaternions. The it's not entirely visualizations like the title might lead you to believe. There's enough mathematical foundation to make it useful. There are a few visualizations to help you get a feel for what is going on. This book helps, but your life would be better if you could avoid quaternions altogether. "Quaternions came from Hamilton after his really good work had been done, and though beautifully ingenious, have been an unmixed evil to those who have touched them in any way." ~Lord Kelvin
10 internautes sur 24 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 omfg 8 octobre 2009
Par Jon C. Kimbrell - Publié sur Amazon.com
Format:Relié
I saw every point in the three sphere, in 4D. In a color I've never seen before...
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