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Titlebook: Digitally Archiving Cultural Objects; Katsushi Ikeuchi,Daisuke Miyazaki Book 2008 Springer-Verlag US 2008 3D.3D modeling.Alignment.Ikeuchi

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发表于 2025-3-21 18:53:09 | 显示全部楼层 |阅读模式
书目名称Digitally Archiving Cultural Objects
编辑Katsushi Ikeuchi,Daisuke Miyazaki
视频video
概述Editors are experts in the field of digital preservation.Thorough approach to digital preservation.Includes supplementary material:
图书封面Titlebook: Digitally Archiving Cultural Objects;  Katsushi Ikeuchi,Daisuke Miyazaki Book 2008 Springer-Verlag US 2008 3D.3D modeling.Alignment.Ikeuchi
描述.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
出版日期Book 2008
关键词3D; 3D modeling; Alignment; Ikeuchi; Mapping; Mixed Reality; Multimedia; Raytracing; Simulation; Textur; archi
版次1
doihttps://doi.org/10.1007/978-0-387-75807
isbn_softcover978-1-4419-4543-3
isbn_ebook978-0-387-75807-7
copyrightSpringer-Verlag US 2008
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Elena Maksimova,Angelina Stanojoskastration method that can align multiple range images comprised of a large number of data points. The proposed method minimizes an error function that is constructed to be global against all range images, providing the ability to diffusively distribute errors instead of accumulating them. The minimiz
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Maša Filipovič Hrast,Katharina Zimmermann a large number of range images simultaneously. We developed a parallel method to address the problems. Searching for corresponding points between two range images is time-consuming and requires considerable memory space when performed independently. However, this process can be preformed in paralle
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https://doi.org/10.1007/978-94-015-9743-2re cultural heritage objects. When constructing models of such objects, we are faced with several important issues that have not been addressed in the past – issues that mainly arise due to the large amount of data that has to be handled. We propose two novel approaches to efficiently handle such la
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