Morphological Analysis for Investigating Artistic Images.
Bell P, Ommer B, Monroy Kuhn JA (2014)
Publication Language: English
Publication Type: Journal article
Publication year: 2014
Journal
Book Volume: 32
Pages Range: 414-423
Journal Issue: 6
DOI: 10.1016/j.imavis.2014.04.004
Open Access Link: https://doi.org/10.1016/j.imavis.2014.04.004
Abstract
This paper describes an approach for automatically analyzing the alterations of an original artwork during its reproduction. The overall deformation of the artwork is modelled by a piecewise linear model, where regions of the artwork that feature similar alterations are automatically inferred and assigned to the different model components. Model complexity, that is, the required number of affine components required for registration, is automatically estimated using a statistical stability analysis. The main challenge is to simultaneously solve three tasks: (i) inferring the correspondences between both shapes, (ii) identifying the groups in the image that share the same transformation, and (iii) estimating the transformation of these groups. Our approach is tested on controlled scenarios as well as on real historical images.
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Germany (DE)How to cite
APA:
Bell, P., Ommer, B., & Monroy Kuhn, J.A. (2014). Morphological Analysis for Investigating Artistic Images. Image and Vision Computing, 32(6), 414-423. https://dx.doi.org/10.1016/j.imavis.2014.04.004
MLA:
Bell, Peter, Björn Ommer, and Juan Antonio Monroy Kuhn. "Morphological Analysis for Investigating Artistic Images." Image and Vision Computing 32.6 (2014): 414-423.
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