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
