Overview
- Editors are experts in the field of digital preservation
- Thorough approach to digital preservation
- Includes supplementary material: sn.pub/extras
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About this book
A large number of cultural heritage objects around the world are deteriorating or being destroyed due to the work of natural disasters, such as earthquakes and floods, and human-inflicted destruction, such as war and vandalism. In the wake of these threats, 3D data becomes a critical component to permanently recording the shapes of these important objects so that they might be passed down to future generations.
Digitally Archiving Cultural Objects describes thorough research and methods for preserving cultural heritage objects through the use of 3D digital data. These methods were developed through using computer vision and computer graphics technologies. This data can also be used for simulation and restoration purposes as well as towards various multimedia applications.
This comprehensive book is organized into four parts. Part 1 describes various sensors designed to obtain data. Part 2 contains a collection of papers that describe the geometric pipeline, converting obtained data into a consistent geometric model, through determining relative relations among digital data and connecting those data into a uniform representation. Part 3 concerns photometric issues, including how to map color pictures on a geometric model and how to remove the effect of sunlight in the pictures obtained. Part 4 reports on the effort to establish a digital museum to restore and display the original appearance of heritage objects as well as conduct analyses of obtained data for heritage research.
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Keywords
Table of contents (23 chapters)
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Range Data Analysis
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Color Analysis
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Digitizing Cultural Heritage
Authors and Affiliations
Bibliographic Information
Book Title: Digitally Archiving Cultural Objects
Authors: Katsushi Ikeuchi, Daisuke Miyazaki
DOI: https://doi.org/10.1007/978-0-387-75807
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-75806-0Published: 10 December 2007
Softcover ISBN: 978-1-4419-4543-3Published: 04 November 2010
eBook ISBN: 978-0-387-75807-7Published: 23 January 2008
Edition Number: 1
Number of Pages: XXXIV, 504
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Artificial Intelligence, Simulation and Modeling