A new article is available in IPOL: http://www.ipol.im/pub/art/2017/148/
José Lezama, Gregory Randall, and Rafael Grompone von Gioi,
Vanishing Point Detection in Urban Scenes Using Point Alignments,
Image Processing On Line, 7 (2017), pp. 131–164.
https://doi.org/10.5201/ipol.2017.148
Abstract
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.
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IPOL - Image Processing On Line - http://ipol.im/
contact [email protected] - http://www.ipol.im/meta/contact/
news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
announces [email protected] - http://tools.ipol.im/mm/announce/
discussions [email protected] - http://tools.ipol.im/mm/discuss/
