Talks and Poster Presentations (with Proceedings-Entry):

G. Shalunts, Y. Haxhimusa, R. Sablatnig:
"Architectural Style Classification of Domes";
Talk: 8th International Symposium on Visual Computing ISVC'12, Rethymnon, Crete, Greece; 2012-07-16 - 2012-07-18; in: "Advances in Visual Computing", Springer 2012, 7432 (2012), ISBN: 978-3-642-33190-9; 420 - 429.

English abstract:
Domes are architectural structural elements characteristic
for ecclesiastical and secular monumental buildings, like churches, basilicas,
mosques, capitols and city halls. In the scope of building facade
architectural style classification the current paper addresses the problem
of architectural style classification of facade domes. Building facade
classification by architectural styles is achieved by classification and voting
of separate architectural elements, like domes, windows, towers, etc.
Typical forms of the structural elements bear the signature of each architectural
style. Our approach classifies domes of three architectural styles
- Renaissance, Russian and Islamic. We present a three-step approach,
which in the first step analyzes the height and width of the dome for the
identification of Islamic saucer domes, in the second step detects golden
color in YCbCr color space to determine Russian golden onion domes
and in the third step performs classification based on dome shapes, using
clustering and learning of local features. Thus we combine three features
- the relation of dome width and height, color and shape, in a single
methodology to achieve high classification rate.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.