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http://dx.doi.org/10.5392/JKCA.2013.13.08.001

Vanishing Points Detection in Indoor Scene Using Line Segment Classification  

Ma, Chaoqing (전북대 컴퓨터공학부)
Gwun, Oubong (전북대 컴퓨터공학부)
Publication Information
The Journal of the Korea Contents Association / v.13, no.8, 2013 , pp. 1-10 More about this Journal
Abstract
This paper proposes a method to detect vanishing points of an indoor scene using line segment classification. Two-stage vanishing points detection is carried out to detect vanishing point in indoor scene efficiently. In the first stage, the method examines whether the image composition is a one-point perspective projection or a two-point one. If it is a two-point perspective projection, a horizontal line through the detected vanishing point is found for line segment classification. In the second stage, the method detects two vanishing points exactly using line segment classification. The method is evaluated by synthetic images and an image DB. In the synthetic image which some noise is added in, vanishing point detection error is under 16 pixels until the percent of the noise to the image becomes 60%. Vanishing points detection ratio by A.Quattoni and A.Torralba's image DB is over 87%.
Keywords
Vanishing Point; Vanishing Line; Thales' Theorem; Line Segmentation Classification;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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