This NCPTT funded project provides practical tools to cultural heritage and natural science practitioners applying close-range 3D photogrammetry. The grant paid to extend earlier versions CHI’s Digital Lab Notebook (DLN) tools for Reflectance Transformation Imaging (RTI) to photogrammetric technology. These DLN tools provide their users the means to build scientific, quantitatively measurable, 3D and RTI digital representations. The tools greatly simplify scientific imaging by building and managing the lab notebook record of the means and context of image capture and processing.
The DLN tools offers greatly enhanced digital data and knowledge sustainability. Together the tools encourage reuse of digital representations; allow data users to understand how they were made, enabling evaluation of reliability; and prepare digital data for long-term archiving. This approach enhances the digital knowledge sustainability of humankind’s legacy.
There are currently two DLN tools: DLN:CaptureContext and DLN:Inspector. Both can now be used for photogrammetric data capture.
DLN:CaptureContext collects and organizes process-oriented, contextual metadata in a highly automated way when the image data is captured and processed, rather than afterward. DLN:CaptureContext manages information about project purposes, the subject of the photographic capture, the people who are part of the project, the institutions or stakeholders involved, and specifics of the camera and lighting configuration. Documents and web links can also be incorporated into the data.
These tools add ISO standard 12217-2014 (the CIDOC/CRM) compliant metadata, which is exported as .xml and Linked Open Data. Linked Open Data can automatically link to other related web information, widening and deepening the information relationships that underlie knowledge formation. The tools require no user knowledge of the ISO standard or Linked Open Data. The user interacts with the tools using ordinary language.
DLN:Inspector automatically ensures that each image set meets the requirements for high-quality photogrammetry. These requirements can be checked algorithmically. For example, Inspector can confirm whether autofocus is turned off and check that the aperture does not change across a given photogrammetric image calibration set. The tool will check for image-processing errors, such as sharpening, which should not be applied to photogrammetry data. This validation step will ensure users are alerted to potential issues in their image sets. Anyone else who wants to reuse these images can easily find this information.
The DLN:CaptureContext and DLN:Inspector tools will be freely downloadable from the Downloads area of the culturalheritageimaging.org website.