International Symposium on Virtual Reality,
Archaeology and Cultural Heritage (VAST 2011) |
| |
Radiometric Characterization of Spectral
Imaging
for Textual Pigment Identification |
| |
| |
Min H. Kim |
|
Holly Rushmeier |
|
| |
|
|
|
|
| |
Yale University |
|
| |
|
|
| |
 |
|
| |
Damaged rubric artifacts in a medieval manuscript were captured by (a) an RGB camera and (b) our characterized imager. Our characterized system not only yields more discriminated visual reproduction but measures physically-meaningful radiance at a high accuracy. |
|
| |
|
| |
Abstract |
| |
|
| |
Digital imaging of cultural heritage artifacts has become a standard practice. Typically, standard commercial cameras, often commodity rather than scientific grade cameras, are used for this purpose. Commercial cameras are optimized for plausible visual reproduction of a physical scene with respect to trichromatic human vision. However, visual reproduction is just one application of digital images in heritage. In this paper, we discuss the selection and characterization of an alternative imaging system that can be used for the physical analysis of artifacts as well as visually reproducing their appearance. The hardware and method we describe offers a middle ground between the low cost and ease of commodity cameras and the high cost and complexity of hyperspectral imaging systems. We describe the selection of a system, a protocol for characterizing the system and provide a case study using the system in the physical analysis of a medieval manuscript. |
| |
|
| |
|
| |
@InProceedings{Kim_Rushmeier:2011b,
author = {Min H. Kim and Holly Rushmeier},
title = {Radiometric Characterization of Spectral
Imaging for Textual Pigment Identification},
booktitle = {Proc. International Symposium on Virtual
Reality, Archaeology and Cultural Heritage (VAST 2011)},
year = {2011},
pages = {57--64},
doi = {10.2312/VAST/VAST11/057-064},
publisher = {Eurographics},
address = {Tuscany, Italy}
} |
|
|
|
|
|
|
Hosted by Visual Computing Laboratory, School of Computing, KAIST.
|
 |
|
