Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains

Jose Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, pp. 509-515

Abstract


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.

Related Material


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[bibtex]
@InProceedings{Lezama_2014_CVPR,
author = {Lezama, Jose and Grompone von Gioi, Rafael and Randall, Gregory and Morel, Jean-Michel},
title = {Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2014}
}