Conference proceeding
Classification of archaeological ceramic fragments using texture and color descriptors
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, pp 49-54
Jun 2010
Abstract
The application of digital technologies to culture history preservation and interpretation is a rapidly growing field that has captured the imagination of many. In this work, we explore the application of image classification systems for use in the reconstruction of archaeologically excavated 18th and 19th-century ceramic fragments. In specific, we investigate the classification of thin-shell ceramics based on color and texture descriptors in order to aid in vessel reconstructions. In addition to using well known SIFT features, we formulate a new feature descriptor based on total variation geometry. The experimental results demonstrate that the proposed descriptor accurately represents texture and that, when categorizing fragments, it is best to utilize both the color and texture information available.
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40 citations in Scopus
Details
- Title
- Classification of archaeological ceramic fragments using texture and color descriptors
- Creators
- Patrick Smith - Drexel University, Computer ScienceDmitriy Bespalov - Drexel University, Computer ScienceAli Shokoufandeh - Drexel University, Computer SciencePatrice Jeppson - Drexel University, Digital Media
- Publication Details
- 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, pp 49-54
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Scopus ID
- 2-s2.0-77956518718
- Other Identifier
- 991019173453904721