Título:
Vanishing point detection in urban scenes using point alignments
Otros títulos:
Coordinador:
Director:
Compilador:
Autor:
Lezama, José
Randall, Gregory
Grompone von Gioi, Rafael
Randall, Gregory
Grompone von Gioi, Rafael
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Vanishing points
Manhattan world
PClines
A contrario
Point alignments
Manhattan world
PClines
A contrario
Point alignments
Descriptores:
Procesamiento de Señales
Año de publicación:
2017
Contenido:
Resumen:
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.
Descripción:
metadata.articulos.dc.description.uri:
Editorial:
IPOL
EN:
Image Processing On Line, 7 (2017)
Financiadores:
Citación:
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
Citación:
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ISBN:
e-ISBN:
ISSN:
2105–1232
ISMN:
Otros identificadores:
Cobertura geográfica:
Cobertura temporal:
Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
Licencia Creative Commons Atribución – Compartir Igual (CC - By-SA)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| LRG17.pdf | — | 22.5 MB | Adobe PDF |