Overview
- The computer vision and graphics communities use different terminologies for the same ideas. This books 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
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Geometry: fundamentals of multi-view geometry
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Front Matter
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Computation: from pixels to 3D points
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Front Matter
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Modeling: from 3D points to objects
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Image-Based Modeling
Authors: Long Quan
DOI: https://doi.org/10.1007/978-1-4419-6679-7
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-1-4419-6678-0Published: 22 July 2010
Softcover ISBN: 978-1-4899-8659-7Published: 22 November 2014
eBook ISBN: 978-1-4419-6679-7Published: 10 July 2010
Edition Number: 1
Number of Pages: XVIII, 251
Topics: Computer Graphics, Signal, Image and Speech Processing, Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision