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arXiv · 1703.02445

Object classification in images of Neoclassical furniture using Deep Learning

Bernhard Bermeitinger·André Freitas·Simon Donig·Siegfried Handschuh
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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. It strives to deliver tools for analyzing the spread of aesthetic forms which are considered as a cultural transfer process.

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Bernhard Bermeitinger, André Freitas, Simon Donig, Siegfried Handschuh. 2017-03-07. Object classification in images of Neoclassical furniture using Deep Learning. https://doi.org/10.1007/978-3-319-46224-0_10

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