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Preprints, Working Papers, ... Year : 2021

Vignette detection and reconstruction of composed ornaments with a strengthened autoencoder

Abstract

A strengthened autoencoder formed by placing an object detector upstream of a decoder is here developed in the context of the model-helped human analysis of composed ornaments from a dictionary of vignettes. The detection part is in charge to detect regions of interest containing some vignette features, and the decoding part to ensure vignette reconstruction with a relative quality depending on feature match. Images of ornaments without typographical composition are generated in order to properly assess the performance of each of the two parts.
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Dates and versions

hal-03409930 , version 1 (30-10-2021)

Identifiers

  • HAL Id : hal-03409930 , version 1

Cite

Mohammad Sadil Khan, Rémi Emonet, Thierry Fournel. Vignette detection and reconstruction of composed ornaments with a strengthened autoencoder. 2021. ⟨hal-03409930⟩
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