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http://dx.doi.org/10.5392/JKCA.2018.18.02.231

Vanishing Point Detection Method Using Multiple Initial Vanishing Points  

Lee, Chang-Hyung (숭실대학교 미디어학과)
Choi, Hyung-Il (숭실대학교 미디어학과)
Publication Information
The Journal of the Korea Contents Association / v.18, no.2, 2018 , pp. 231-239 More about this Journal
Abstract
In this paper, we propose a vanishing point detection method using multiple initial vanishing points. Vanishing points are important geometric information that is used for reconstructing 3D structures. Three vanishing points are detected for indoor scenes. In the previous work, it could be inaccurate to detect only one initial vanishing point, because initial vanishing point getting most highest sum of voting could be deferent from the best initial vanishing point. Therefore the method which sets multiple initial vanishing point and detects a best vanishing point from them gives us preparation for the prior case. Also in this paper, we propose a adjusting vanishing point method by postprocessing of detected vanishing points. We could detect more accurate vanishing point by using postprocessing. Experimental results show that the accuracy of the vanishing point detection is about 1~2% higher than that of the existing method through the proposed method and the performance is improved accordingly.
Keywords
Vanishing Point Detection; Multiple Initial Vanishing Points; Mean-Shift; Spatial Information;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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