Automatic Algorithm Development to Identify and Map Pigments

Principal Investigator(s)

Tania Kleynhans

Project Description

Algorithms developed by RIT in collaboration with the National Gallery of Art, and their associated reference data sets, have been optimized using reflectance image cubes collected from early Italian renaissance illuminated manuscripts. To date, results from applying these optimized algorithms on other early Italian renaissance illuminated manuscripts has shown great promise. The next step is to further test and develop the algorithms using reflectance image cubes acquired from paintings created by the same or similar artist from the same time period. The Kress collection of earlier Italian renaissance paintings at the NGA along with the NGA hyperspectral camera, offers an ideal place to collect necessary reflectance data cubes to further test and refine these algorithms.