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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/43515 How to cite
Title: Vanishing point detection in urban scenes using point alignments
Authors: Lezama, José
Randall, Gregory
Grompone von Gioi, Rafael
Type: Artículo
Keywords: Vanishing points, Manhattan world, PClines, A contrario, Point alignments
Descriptors: Procesamiento de Señales
Issue Date: 2017
Abstract: We present a method for the automatic detection of vanishing points in urban scenes based on nding 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.
Publisher: IPOL
IN: Image Processing On Line, 7 (2017)
Citation: Lezama, J, Randall, G, Grompone von Gioi, R. "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
ISSN: 2105–1232
Academic department: Procesamiento de Señales
Investigation group: Tratamiento de Imágenes
License: Licencia Creative Commons Atribución – Compartir Igual (CC - By-SA)
Appears in Collections:Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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