Title :
Classification of gothic and baroque architectural elements
Author :
Shalunts, Gayane ; Haxhimusa, Yll ; Sablatnig, Robert
Author_Institution :
Comput. Vision Lab., Vienna Univ. of Technol., Vienna, Austria
Abstract :
Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate.
Keywords :
image classification; learning (artificial intelligence); pattern clustering; structural engineering computing; architectural structural element classification; balustrade; baroque architectural elements; building facade architectural style classification; dominating gradients; gothic classification; gradient directions; local feature clustering; pediment; tracery; Computer vision; Histograms; Shape; Three dimensional displays; Visualization; Windows; Architectural styles; classification; clustering; local features; structural elements;
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4577-2191-5