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

• DOI: 10.2312/egt.20081050
• Publication Date: 2008-01-01
• Authors: Mark Mudge; Tom Malzbender; Alan Chalmers; Roberto Scopigno; James Davis; Oliver Wang; Prabath Gunawardane; Michael Ashley; Martin Doerr; Alberto José Proença; João Barbosa
• Keywords: Digital Preservation; Digital Imaging

The tools and standards of best practice adopted by natural science (NS) cultural heritage (CH) professionals will determine the digital future NS CH imaging work. This tutorial discusses emerging technologies explores issues influencing widespread adoption practices for CH. a possible through key concepts; surrogates, empirical (scientific) provenance, perpetual conservation, ‘born archival’ semantic knowledge management. multiple image based along with current research including; Reflectance Transformation Imaging (RTI), Photometric Stereo, new in next generation multi-view RTI. involves extending stereo correspondence methods. These permit surrogates that can serve as trusted representations ‘real world’ content. how provenance contributes to reliability conservation ensure be archived available generations. investigates role semantically management strategies their use simplifying ease well long term preservation activities. also these technologies’ potential democratize technology, making methods easy adopt make materials widely diverse audiences. concludes handson demonstrations image-based capture processing practical problem solving Q&A audience.