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RTI Calibration with a Spatial Target

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Over the last year, a group of researchers [Greg Bearman, Dale Kronkright, Eric Doehne and Marcello Manfreddi] has been working on quantitative reflectance transformation imaging. We are interested in RTI as a tool for detecting, measuring and monitoring morphological and topological changes in objects over time. Key to making such approaches work is understanding how well the imaging system delivers repeatable calibrated data. We investigated how well RTI recovers surface normals from a 3D printed spatial calibration target and are posting a short report on results to date.

 

Briefly, we printed a high resolution 3D target with surface normals known from a fixed geometry (wedges, flats and a cone) and measured two parameters; (1) What is the spread in normals for a surface like an inclined plane (wedge), where are the normals should all be the same? (2) We know the differences in normals between the wedges and the cone surface as well. How well does RTI recover those values?

 

A PDF of our application note can be found at any of the following links; (1) http://www.gregbearman.com/papers/. (2) Conservationsciences.org (3) www.isalit.net. (4) http://bit.ly/1i1qHer

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