Principles and Practices of Robust, Photography-based Digital Imaging Techniques for Museums
Principles and Practices of Robust, Photography-based Digital Imaging Techniques for Museums
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博物馆稳健的、基于摄影的数字成像技术的原理和实践
DOI：
10.2312/pe/vast/vast10s/111-137
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发表时间：
2010
影响因子：
2.8
通讯作者：
M. Dellepiane
中科院分区：
文献类型：
--
作者：
Mark Mudge;Carla Schroer;G. Earl;K. Martinez;H. Pagi;Corey Toler;S. Rusinkiewicz;Gianpaolo Palma;M. Wachowiak;Michael Ashley;Neffra Matthews;Tommy A. Noble;M. Dellepiane
这一全天的教程将使用来自顶尖研究人员和博物馆从业人员的讲座和演示来展示博物馆环境中基于摄影的强大数字技术的原则和实践。本教程将介绍基于摄影的成像的现有和前沿应用的许多示例，包括反射变换成像(RTI)、算法渲染(AR)、相机校准和基于图像的纹理3D几何体的生成方法。本教程还将探索一种框架，以供领先的博物馆现在采用这一稳健的数字成像实践家族中更成熟的成员。这些实践是被称为计算摄影(CP)的新兴科学的一部分。成像家族的共同特征是从标准数字照片序列中有目的地选择性地提取信息。通过计算机算法从照片序列中提取信息。然后，提取的信息被集成到包含原始照片中不存在的知识的新的数字表示中，单独或顺序地进行检查。本教程将探讨促进博物馆广泛采用经验获取技术的策略，产生科学上可靠的数字表现形式，这些数字表现形式是“天生的档案”，有助于这些知识的长期数字保存，使其未来能够重复用于新的目的，帮助以数字形式表现的博物馆材料的物理保存，并使公众能够访问和研究。
This full day tutorial will use lectures and demonstrations from leading researchers and museum practitioners to present the principles and practices for robust photography-based digital techniques in museum contexts. The tutorial will present many examples of existing and cutting-edge uses of photography-based imaging including Reflectance Transformation Imaging (RTI), Algorithmic Rendering (AR), camera calibration, and methods of imaged-based generation of textured 3D geometry. The tutorial will also explore a framework for Leading museums are now adopting the more mature members of this family of robust digital imaging practices. These practices are part of the emerging science known as Computational Photography (CP). The imaging family’s common feature is the purpose-driven selective extraction of information from sequences of standard digital photographs. The information is extracted from the photographic sequences by computer algorithms. The extracted information is then integrated into a new digital representations containing knowledge not present in the original photogs, examined either alone or sequentially. The tutorial will examine strategies that promote widespread museum adoption of empirical acquisition technologies, generate scientifically reliable digital representations that are ‘born archival’, assist this knowledge’s long-term digital preservation, enable its future reuse for novel purposes, aid the physical conservation of the digitally represented museum materials, and enable public access and research.
影响因子：
2.8
作者：
G. Earl;K. Martinez;T. Malzbender
通讯作者：
G. Earl;K. Martinez;T. Malzbender