Image-Based Empirical Information Acquisition, Scientific Reliability, and Long-Term Digital Preservation for the Natural Sciences and Cultural Heritage

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dc.contributor.authorMudge, Marken_US
dc.contributor.authorMalzbender, Tomen_US
dc.contributor.authorChalmers, Alanen_US
dc.contributor.authorScopigno, Robertoen_US
dc.contributor.authorDavis, Jamesen_US
dc.contributor.authorWang, Oliveren_US
dc.contributor.authorGunawardane, Prabathen_US
dc.contributor.authorAshley, Michaelen_US
dc.contributor.authorDoerr, Martinen_US
dc.contributor.authorProenca, Albertoen_US
dc.contributor.authorBarbosa, Joaoen_US
dc.contributor.editorMaria Roussou and Jason Leighen_US
dc.date.accessioned2015-07-13T09:55:44Z
dc.date.available2015-07-13T09:55:44Z
dc.date.issued2008en_US
dc.description.abstractThe tools and standards of best practice adopted by natural science and cultural heritage (CH) professionals will determine the digital future of natural science and CH digital imaging work. This tutorial discusses emerging digital technologies and explores issues influencing widespread adoption of digital practices for CH and the natural sciences. The tutorial explores a possible digital future for natural science and CH through key principles: adoption of digital surrogates, empirical (Scientific) provenance, perpetual digital conservation, and the democratization of technology. The tutorial discusses multiple image based technologies along with current research including; Reflectance Transformation Imaging (RTI), Photometric Stereo, and new research in the next generation of multi-view RTI. This research involves decomposition of the reflectance function into view dependent and view independent components, extending stereo correspondence methods. These technologies are then used to produce digital surrogates that can serve as trusted representations of real world content in digital form. The tutorial also explores how empirical provenance can contribute to the authenticity and reliability of digital surrogates, while perpetual digital conservation can ensure that digital surrogates will be archived and available for future generations. The tutorial investigates the role of semantically based knowledge management strategies and their role in simplifying ease of use by natural science and CH professionals as well as long term preservation activities. The tutorial also investigates these emerging technologies potential to democratize digital technology, making digital workflows easy to adopt and make natural science and CH materials widely available to diverse audiences. The tutorial concludes with hands-on demonstrations of image-based capture and processing methods and a practical problem solving Q and A with the audience.en_US
dc.description.sectionheadersT2en_US
dc.description.seriesinformationEurographics 2008 - Tutorialsen_US
dc.identifier.doi10.2312/egt.20081050en_US
dc.identifier.urihttps://doi.org/10.2312/egt.20081050en_US
dc.publisherThe Eurographics Associationen_US
dc.titleImage-Based Empirical Information Acquisition, Scientific Reliability, and Long-Term Digital Preservation for the Natural Sciences and Cultural Heritageen_US
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