Abstract
This paper proposes a novel method of detecting lines from omnidirectional image based on spherical gradient of edge points. Since the spherical gradient of edge points is aligned with the normal vector of the line’s projection plane, a line can be determined directly from the spherical gradient direction of the edge points. Since the spherical gradient of the edge points at the two sides of a bar belongs to different hemispheres, the boundary of a bar can be detected easily even if the bar is very narrow. In this paper, the spherical gradient of edge points is incorporated into the Hough Transform to detect lines from omnidirectional image. The experiment shows that the proposed method outperforms the conventional method in not only the accuracy of line detection of narrow bars, but also the efficiency of computation.
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References
Barreto, J.P., Araujo, H.: Geometric properties of central catadioptric line and images and their application in calibration. IEEE Trans. on PAMI 27(8), 1327–1333 (2005)
Cham, T., et al.: Estimating camera pose from a single urban ground-view omnidirectional image and a 2D building outline map. In: CVPR, pp. 366–373 (2010)
Geyer, C., Daniilidis, K.: A unifying theory for central panoramic systems and practical implications. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1843, pp. 445–461. Springer, Heidelberg (2000)
Li, S.: A full-view spherical image sensor. In: ICPR, pp. 386–390 (2006)
Li, S., Hai, Y.: Estimating camera pose from H-pattern of parking lot. In: ICRA, pp. 3954–3950 (2010)
Li, S., Hai, Y.: A full-view spherical image format. In: ICPR, pp. 2337-2340 (2010)
Li, S., Jia, Y.: Vanishing point estimation by spherical gradient. In: ICPR, pp. 902–905 (2012)
Mei, C., Malis, E.: Fast central catadioptric line extraction, estimation, tracking and structure from motion. In: IROS (2006)
Nayar, S.: Catadioptric omnidirectional camera. In: Proc. of Computer Vision and Pattern Recognition, pp. 482–488 (1997)
Tardif, J.: Non-iterative approach for fast and accurate van-ishing point detection. In: ICCV, pp. 1250-1257 (2009)
Ying, X., Hu, Z.: Catadioptric line features detection using Hough transform. In: ICPR, pp. 839-842 (2004)
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Li, S., Jia, H., Nakanishi, I. (2013). Line Detection by Spherical Gradient. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_36
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DOI: https://doi.org/10.1007/978-3-642-39094-4_36
Publisher Name: Springer, Berlin, Heidelberg
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