DocumentCode :
3266349
Title :
Appling semantic method to windows detection in façade
Author :
Wang, Xi ; Wen, Kun-Li ; Ying, Xiang-Hua ; Chen, Huo-Cheng
Author_Institution :
Dept. of Comput. & Commun. Sci., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2011
fDate :
20-22 Dec. 2011
Firstpage :
837
Lastpage :
841
Abstract :
In this paper, the image database and the knowledge representation of the windows in facade are developed to improve the accuracy ratio of Gentle AdaBoost algorithm which provides a final strong classifier in windows detection in façade. To achieve the knowledge representation, this paper had established four windows contextual rules, which consult the concept of image semantics. After the real testing, the results demonstrate the single window detection method is quite successful. It not only can promote the window detection system, but also extend the other relative fields, such as 3D large scales reconstruction and intelligence cars.
Keywords :
civil engineering computing; image classification; knowledge representation; learning (artificial intelligence); natural scenes; object detection; visual databases; windows (construction); building facade; gentle AdaBoost algorithm accuracy ratio improvement; image database; image semantics; knowledge representation; semantic method; windows detection; Classification algorithms; Context; Image databases; Semantics; Training; Windows;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2011 IEEE/SICE International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4577-1523-5
Type :
conf
DOI :
10.1109/SII.2011.6147557
Filename :
6147557
Link To Document :
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