Abstract
This paper presents a novel method for contour matching in the architectural scenes captured by the omnidirectional camera. Since most line segments of man-made objects are projected to lines and contours, contour matching problem is important for 3D analysis in an omnidirectional indoor scene. First, we compute an initial estimate of the camera parameters from corner points and correlation-based matching. Then, the obtained edges by Canny detector are linked and divided into separate 3D line segments. By using a minimum angular error of endpoints of each contour, we establish the corresponding contours, and the initial parameters are refined iteratively from the correspondences. The simulation results demonstrate that the algorithm precisely estimates the extrinsic parameters of the camera by contour matching.
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Hwang, Y., Lee, J., Hong, H. (2007). Contour Matching in Omnidirectional Images. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_24
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DOI: https://doi.org/10.1007/978-3-540-76858-6_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
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