Finding vanishing points via point alignments in image primal and dual domains
Resumen:
We present a novel method for automatic vanishing point detection based on primal and dual point alignment detection. The very same point alignment detection algorithm is used twice: First in the image domain to group line segment endpoints into more precise lines. Second, it is used in the dual domain where converging lines become aligned points. The use of the recently introduced PClines dual spaces and a robust point alignment detector leads to a very accurate algorithm. Experimental results on two public standard datasets show that our method significantly advances the state-of-the-art in the Manhattan world scenario, while producing state-of-the-art performances in non-Manhattan scenes.
| 2014 | |
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Vanishing point detection Line-to-point mapping 2d point alignments Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41813 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Sumario: | Trabajo publicado en IEEE Conference on Computer Vision and Pattern Recognition, la versión open access que se publica es suministrada por Computer Vision Foundation. La versión autorizada puede consultarse en IEEE Xplore. DOI: 10.1109/CVPR.2014.72 |
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