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Fast and Accurate Self-calibration Using Vanishing Point Detection in Manmade Environments

Sang Jun Lee and Sung Soo Hwang*
International Journal of Control, Automation, and Systems, vol. 18, no. 10, pp.2609-2620, 2020

Abstract : Interests of auto-calibration have been increased in several camera systems. This paper presents a novel self-calibration method using a fast and accurate vanishing point detection algorithm that works in manmade environments. The proposed algorithm estimates focal length assuming that the principal point is the center of an image to satisfy the orthogonality of three vanishing points. By using the proposed vanishing point detection algorithm and minimization of the proposed objective function, the proposed system detects accurate vanishing points with focal length outperforming other methods. The proposed vanishing point detection algorithm detects vanishing points by using J-linkage based method that is more delicate by fragmentation and re-merging strategies. The proposed objective function finally detects vanishing points that meet orthogonality among estimated hypotheses for vanishing points by checking several geometric relationships. We believe that the proposed method can be used for automatic camera calibration, localization of a camera in an autonomous navigation system, and three-dimensional reconstruction of a single-view image.

Download: http://link.springer.com/article/10.1007/s12555-019-0284-1

Keyword : Auto camera calibration, line clustering, single view geometry, vanishing point detection

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