Authors:
- Provides a practical focus on important techniques not covered by traditional courses on computer vision and computer graphics
- Presents an introduction to the theoretical and mathematical underpinnings of each technique
- Includes self-study exercises throughout the text, and supplies additional material at a supplementary website
- Includes supplementary material: sn.pub/extras
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (18 chapters)
-
Front Matter
-
Mathematical Preliminaries
-
Front Matter
-
-
Introduction
-
Mathematical Preliminaries
-
Front Matter
-
-
Computational Geometry Processing
-
Front Matter
-
About this book
Reviews
From the book reviews:
“The book consists of two parts—Mathematical Preliminaries and Computational Geometry Processing. Almost 70 pages of linear algebra, differential geometry and finite difference methods comprise all the necessary concepts for the rest of the book. … the book fills a gap in the market for textbook-like publications on geometry processing topics. It could be a valuable source of initial ideas for people trying to extend their basic knowledge in the area.” (Pavel Chalmovianský, Mathematical Reviews, November, 2014)
“The book is brilliant in that it maintains a sane balance between theory and practice. It is written by practitioners, for practitioners--the authors are experienced programmers who have developed the geometry and linear algebra (GEL) library, which is being used in real-world applications--without losses in mathematical rigor or theoretical details. This elegant style enables both students and professionals to use it as a reference guide for fundamental topics in geometry processing. … The book is a handy companion for students and practitioners working in computer graphics and computer vision fields, but will also appeal to people working in any computational science and engineering field.” (Alin Anton, Computing Reviews, January, 2013)
“It focuses on the important techniques not covered by traditional courses on computer vision and computer graphics. … The book is presented in an accessible fashion full of images, examples, pseudocodes and exercises. … The book is suitable for professionals or graduate students who want to understand the theory and implement algorithms of geometry processing. It can be used for a self studing and as a course book as well.” (Agnieszka Lisowska, Zentralblatt MATH, Vol. 1252, 2012)
Authors and Affiliations
-
Informatics and Mathematical Modelling, Technical University of Denmark, Kongens Lyngby, Denmark
Jakob Andreas Bærentzen, François Anton, Henrik Aanæs
-
Department of Mathematics, Technical University of Denmark, Kongens Lyngby, Denmark
Jens Gravesen
Bibliographic Information
Book Title: Guide to Computational Geometry Processing
Book Subtitle: Foundations, Algorithms, and Methods
Authors: Jakob Andreas Bærentzen, Jens Gravesen, François Anton, Henrik Aanæs
DOI: https://doi.org/10.1007/978-1-4471-4075-7
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2012
Hardcover ISBN: 978-1-4471-4074-0Published: 07 June 2012
Softcover ISBN: 978-1-4471-6031-1Published: 11 June 2014
eBook ISBN: 978-1-4471-4075-7Published: 31 May 2012
Edition Number: 1
Number of Pages: XVIII, 326
Topics: Math Applications in Computer Science, Symbolic and Algebraic Manipulation, Computer Graphics, Artificial Intelligence, Image Processing and Computer Vision, Computer-Aided Engineering (CAD, CAE) and Design