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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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https://hal.archives-ouvertes.fr/hal-03409930
Contributor : Thierry Fournel Connect in order to contact the contributor
Submitted on : Saturday, October 30, 2021 - 2:43:29 PM
Last modification on : Wednesday, November 3, 2021 - 3:52:58 AM

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  • HAL Id : hal-03409930, version 1

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

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