Computer Analysis of Lighting in Realist Master Art: Current Methods and Future Challenges

Authors:
David G. Stork
Affiliations:
Ricoh Innovations, Menlo Park, USA 94025 and Department of Statistics, Stanford University, Stanford, USA 94305
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

Citing 4
Cited 2

Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
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Abstract

We review several computer based techniques for analyzing the lighting in images that have proven valuable when addressing questions in the history and interpretation of realist art. These techniques fall into two general classes: model independent (where one makes no assumption about the three-dimensional shape of the rendered objects) and model dependent (where one does make some assumptions about their three-dimensional shape). An additiona, statistical algorithm integrates the estimates of lighting position or direction produced by different such techniques. We conclude by discussing several outstanding problems and future directions in the analysis of lighting in realist art.