文章基本信息

标题：Vanishing Point Detection in Urban Scenes Using Point Alignments
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作者：José Lezama ; Gregory Randall ; Rafael Grompone von Gioi 等
期刊名称：Image Processing On Line
电子版ISSN：2105-1232
出版年度：2017
卷号：7
页码：131-164
DOI：10.5201/ipol.2017.148
出版社：Image Processing On Line
摘要：We present a method for the automatic detection of vanishing points in urban scenes based on finding point alignments in a dual space, where converging lines in the image are mapped to aligned points. To compute this mapping the recently introduced PClines transformation is used. A robust point alignment detector is run to detect clusters of aligned points in the dual space. Finally, a post-processing step discriminates relevant from spurious vanishing point detections with two options: using a simple hypothesis of three orthogonal vanishing points (Manhattan-world) or the hypothesis that one vertical and multiple horizontal vanishing points exist. Qualitative and quantitative experimental results are shown. On two public standard datasets, the method achieves state-of-the-art performances. Finally, an optional procedure for accelerating the method is presented.