A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images

A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images

Repeated patterns (such as windows, balconies, and doors) are prominent and significant features in urban scenes. Therefore, detection of these repeated patterns becomes very important for city scene analysis. This paper attacks the problem of repeated pattern detection in a precise, efficient and a...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 9 vom: 24. Sept., Seite 2266-2272
1. Verfasser: Liu, Juan (VerfasserIn)
Weitere Verfasser: Psarakis, Emmanouil Z, Feng, Yang, Stamos, Ioannis
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.
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520 |a Repeated patterns (such as windows, balconies, and doors) are prominent and significant features in urban scenes. Therefore, detection of these repeated patterns becomes very important for city scene analysis. This paper attacks the problem of repeated pattern detection in a precise, efficient and automatic way, by combining traditional feature extraction with a Kronecker product based low-rank model. We introduced novel algorithms that extract repeated patterns from rectified images with solid theoretical support. Our method is tailored for 2D images of building façades and tested on a large set of façade images 
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