The talk will demonstrate that computational photography can capture rich data about our world and make the means and circumstances of the information’s generation transparent.
Computational photography encompasses a family of digital techniques. They are all based on the computational extraction of relevant information from a sequence of digital photographs. This extracted information can be integrated into new digital representations to yield rich data not found in the original, individual photographs.
The talk will discuss several emerging computational photography techniques that can capture information about our world and track their changes over time. These tools can capture:
Computational Photography tools feature high degrees of automation. The talk will explore this nearly automatic nature and how it enables automatic record keeping of each event and resource involved in the original information capture and all subsequent events that occur in this data’s processing into a final digital representation. These records can be collected into a “digital lab notebook”. The lab notebook’s metadata can be automatically structured using international standards such as ISO21127, the International Council of Museum’s (ICOM) Documentation Committee’s (CIDOC) Conceptual Reference Model (CRM).
The digital lab notebook makes the means and circumstances of the completed digital image generation transparent. Transparency permits scientific evaluation of the digital representation’s quality, reliability and potential for reuse. Transparency is also a key factor for improving the chances of the digital representation’s long-term preservation.
See how computational photography can illuminate the Digital Dark Age!