• 한국의류산업학회지
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• 제17권1호
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• pp.64-73
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• 2015

This paper examines the characteristics of Hungarian women's costumes under the Reign of the Habsburg Empire in the $19^{th}$ Century. Since the beginning of the $19^{th}$ century, the Habsburg Empire inflicted strong oppression on Hungary. Under the influence of the European upper class, exaggerated and sumptuous costumes were fashionable in the Hungarian Aristocracy. They preferred blouses decorated with colorful embroidery, pleated sleeves, gorgeous beads and lace, long pleated skirts with velvet borders, corsets decorated with delicate embroidery, coats adorned with lace, and capes. However, Hungarian nationalists protested against the Habsburg Empire's oppression; consequently, Hungarian national costumes expressed a sense of resistance and solidarity. The results of the study are as follows. The Hungarian women's costumes were different from women's costumes of the Habsburg Empire in regards to headdress, bodice, apron, pattern and shoes. The Hungarian women's headdress consists of the parta and veil. The bodice is richly adorned with colorful embroidery and differs from skirts in color and material. The Hungarian women's apron is distinct from the Habsburg Empire as a unique Hungarian item. Finally, Hungarian costumes are characterized by the Oriental pattern and short boots with metal heels.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1986년도 추계학술발표회 논문집
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• pp.45-52
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• 1986

This paper presents an experimental model-based vision system which can identify and locate object in scenes containing multiple occluded parts. The objent are assumed to be regid, planar parta. In any recognition system the type of object that might appear in the image dictates the type of knowledge that is needed to recognize the object. The data is reduced to a seguential list of points or pixel that appear on the boundary of the objects. Next the boundary of the object is smoothed using a polygonal approximation algorithm. Recognition consists in finding the prototype that matches model to image. The best match is obtained by optimising some similarity measure.