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Research Highlight

Research
Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence
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Prof. Seong-Whan Lee's new research, A Novel Linelet-based Representation for Line Segment Detection was accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence.

 

Title: A Novel Linelet-based Representation for Line Segment Detection

 

Abstract: This paper proposes a method for line segment detection in digital images.We propose a novel linelet-based representation to model intrinsic properties of line segments in rasterized image space. Based on this, line segment detection, validation, and aggregation frameworks are constructed. For a numerical evaluation on real images, we propose a new benchmark dataset of real images with annotated lines called YorkUrban-LineSegment. The results show that the proposed method outperforms state-of-the-art methods numerically and visually. To our best knowledge, this is the first report of numerical evaluation of line segment detection on real images.

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Research
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2017-03-15

Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence
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2017-02-14

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2016-09-22

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