10.2312/gch.20161396
A Practical Reflectance Transformation Imaging Pipeline for Surface Characterization in Cultural Heritage
Ciortan, Irina Mihaela
Pintus, Ruggero
Marchioro, Giacomo
Daffara, Claudia
Giachetti, Andrea
Gobbetti, Enrico
The Eurographics Association
2016
978-3-03868-011-6
2312-6124
http://diglib.eg.org/bitstream/handle/10.2312/gch20161396/127-136.pdf
10 pages
We present a practical acquisition and processing pipeline to characterize the surface structure of cultural heritage objects. Using a free-form Reflectance Transformation Imaging (RTI) approach, we acquire multiple digital photographs of the studied object shot from a stationary camera. In each photograph, a light is freely positioned around the object in order to cover a wide variety of illumination directions. Multiple reflective spheres and white Lambertian surfaces are added to the scene to automatically recover light positions and to compensate for non-uniform illumination. An estimation of geometry and reflectance parameters (e.g., albedo, normals, polynomial texture maps coefficients) is then performed to locally characterize surface properties. The resulting object description is stable and representative enough of surface features to reliably provide a characterization of measured surfaces. We validate our approach by comparing RTI-acquired data with data acquired with a high-resolution microprofilometer.
Eurographics Workshop on Graphics and Cultural Heritage
Acquisition and Visualisation
127
136
Irina Mihaela Ciortan, Ruggero Pintus, Giacomo Marchioro, Claudia Daffara, Andrea Giachetti, and Enrico Gobbetti
Categories and Subject Descriptors (according to ACM CCS): I.4.1 [Image processing and Computer Vision]: Digitization and Image Capture-Imaging Geometry
I.4.1 [Image processing and Computer Vision] Digitization and Image CaptureImaging Geometry
127-136