Paper Retrieval Based on Specific Paper Features: Chain and Laid Lines

Staalduinen, Mark van; Lubbe, J.C.A. van der; Backer, Ε.; Pacĺık, Pavel

doi:10.1007/11848035_46

Cited by 9 publications

(15 citation statements)

References 1 publication

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“…We chose to include the possibility of handling images with nonparallel chain lines, for which the location of the measurement of chain spacing on the image relative to its location on the mold needs to be computed, because of the fundamental simplicity of this task. The end result is that we agree with [7] in that the chain-space sequence is "the most discriminative feature. "…”

Section: Chain Line Pattern Matching and Signal Processingsupporting

confidence: 82%

“…As stated in [7]: "All these features are detected under the assumption that the lines are straight and equidistant with respect to each other." (Here equidistant means parallel.)…”

Section: Chain Line Pattern Matching and Signal Processingmentioning

confidence: 99%

“…Our algorithmic approach to this computational art history task is similar to the strategy in [7], which uses image processing tools (in particular Fourier and Radon transforms) to extract from a suitable image the average chain-line separation distance, chain-line orientation, number of chain lines, and the sequence of chain-line separation distances. As stated in [7]: "All these features are detected under the assumption that the lines are straight and equidistant with respect to each other."…”

Section: Chain Line Pattern Matching and Signal Processingmentioning

confidence: 99%

“…(Here equidistant means parallel.) In [7], the average chain spacing and the chain-space sequence are combined with the laid line density in a similarity measure. Our approach in this article differs in that we drop the extraction and use of laid line density, as most of our images are of insufficent clarity to assess this feature.…”

Section: Chain Line Pattern Matching and Signal Processingmentioning

confidence: 99%

“…Plus, we abandon the assumption that the chain lines are parallel; while we retain the assumption that they are straight. The lead author of [7] modified the straightness assumption to piecewise straightness in [8], with a commensurate increase in the necessary signal processing.…”

Section: Chain Line Pattern Matching and Signal Processingmentioning

confidence: 99%

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Hunting for Paper Moldmates Among Rembrandt's Prints: Chain-line pattern matching

Johnson

Sethares

Ellis

et al. 2015

IEEE Signal Process. Mag.

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E arly paper manufacturing used sieve-like molds through which paper pulp was drained. Two pieces of paper are called moldmates if they were made using the same mold. When a large body of one artist's work on paper exists, the identification of moldmates can help in establishing chronology, suggest paper preferences, and indicate periods of intense activity of the artist. Rembrandt is an especially good example. With several thousand prints in existence today, the study of Rembrandt's prints has occupied scholars for over two centuries, and the study of his printing papers occupies a prominent place within this scholarship [1]. This article examines the feasibility of moldmate identification via chain-line pattern matching and conducts a series of experiments that demonstrate how accurately the measurements can be made, how straight and parallel the lines may be, and provides a rule of thumb for the number of chain lines required for accurate moldmate identification using a simplified model. The problem of identifying moldmates among Rembrandt's prints is presented as a pair of image/signal processing tasks; our strategy is to provide basic solutions to these tasks and to then reveal the shortcomings of these solutions in the hopes of encouraging future work in the signal processing community. With the support of the Morgan Library & Museum and the Metropolitan

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Section: Chain Line Pattern Matching and Signal Processingsupporting

confidence: 82%

“…As stated in [7]: "All these features are detected under the assumption that the lines are straight and equidistant with respect to each other." (Here equidistant means parallel.)…”

Section: Chain Line Pattern Matching and Signal Processingmentioning

confidence: 99%