Vanishing Point Detection in Urban Scenes Using Point Alignments
José Lezama, Gregory Randall, Rafael Grompone von Gioi
→ BibTeX
    title   = {{Vanishing Point Detection in Urban Scenes Using Point Alignments}},
    author  = {Lezama, José and Randall, Gregory and Grompone von Gioi, Rafael},
    journal = {{Image Processing On Line}},
    volume  = {7},
    pages   = {131--164},
    year    = {2017},
    doi     = {10.5201/ipol.2017.148},
% if your bibliography style doesn't support doi fields:
    note    = {\url{}}
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.

Communicated by Andrés Almansa
Demo edited by José Lezama


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.