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Object Classification in Images of Neoclassical Furniture Using Deep Learning
Abstract : This short paper outlines research results on object classification in images of Neoclassical furniture. The motivation was to provide an object recognition framework which is able to support the alignment of furniture images with a symbolic level model. A data-driven bottom-up research routine in the Neoclassica research framework is the main use-case. This research framework is described more extensively by Donig et al. [2]. It strives to deliver tools for analyzing the spread of aesthetic forms which are considered as a cultural transfer process.
Cited literature [7 references]
https://hal.inria.fr/hal-01616309
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Submitted on : Friday, October 13, 2017 - 2:53:05 PM
Last modification on : Thursday, March 5, 2020 - 5:40:54 PM
Long-term archiving on: : Sunday, January 14, 2018 - 2:20:44 PM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, October 13, 2017 - 2:53:05 PM
Last modification on : Thursday, March 5, 2020 - 5:40:54 PM
Long-term archiving on: : Sunday, January 14, 2018 - 2:20:44 PM
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431566_1_En_10_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License