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Abstract
Objective characterization of jewels in paintings, especially pearls, has been a long lasting challenge for art historians. The way an artist painted pearls reflects his ability to observing nature and his knowledge of contemporary optical theory. Moreover, the painterly execution may also be considered as an individual characteristic useful in distinguishing hands. In this work, we propose a set of image analysis techniques to analyze and measure spatial characteristics of the digital images of pearls, all relying on the so called spatiogram image representation. Our experimental results demonstrate good correlation between the new metrics and the visually observed image features, and also capture the degree of realism of the visual appearance in the painting. In that sense, these results set the basis in creating a practical tool for art historical attribution and give strong motivation for further investigations in this direction.
Original language | English |
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Title of host publication | 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium |
Publication status | Published - 2011 |
Event | Unknown - Duration: 1 Jan 2011 → … |
Conference
Conference | Unknown |
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Period | 1/01/11 → … |
Keywords
- Ghent Altarpiece
- image analysis
- histograms
- spatiograms
- content similarity
Fingerprint
Dive into the research topics of 'Spatiogram features to characterize pearls in paintings'. Together they form a unique fingerprint.Activities
- 1 Membership of peer-review panel or committee
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IEEE (External organisation)
Ann Dooms (Member)
1 Oct 2007 → …Activity: Membership › Membership of peer-review panel or committee