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http://dx.doi.org/10.5762/KAIS.2019.20.1.477

Algorithm for improving the position of vanishing point using multiple images and homography matrix  

Lee, Chang-Hyung (School of Media, Soongsil University)
Choi, Hyung-Il (School of Media, Soongsil University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.1, 2019 , pp. 477-483 More about this Journal
Abstract
In this paper, we propose vanishing-point position-improvement algorithms by using multiple images and a homography matrix. Vanishing points can be detected from a single image, but the positions of detected vanishing points can be improved if we adjust their positions by using information from multiple images. More accurate indoor space information detection is possible through vanishing points with improved positional accuracy. To adjust a position, we take three images and detect the information, detect the homography matrix between the walls of the images, and convert the vanishing point positions using the detected homography. Finally, we find an optimal position among the converted vanishing points and improve the vanishing point position. The experimental results compared an existing algorithm and the proposed algorithm. With the proposed algorithm, we confirmed that the error angle to the vanishing point position was reduced by about 1.62%, and more accurate vanishing point detection was possible. In addition, we can confirm that the layout detected by using improved vanishing points through the proposed algorithm is more accurate than the result from the existing algorithm.
Keywords
homography; improving position; indoor scene; multiple images; vanishing points;
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