Abstract
This paper presents a novel approach to both the calibration of the omnidirectional camera and the contour matching in architectural scenes. The proposed algorithm divides an entire image into several sub-regions, and then examines the number of the inliers in each sub-region and the area of each region. In our method, the standard deviations are used as quantitative measure to select a proper inlier set. Since the line segments of man-made objects are projected to contours in omnidirectional images, contour matching problem is important for more precise camera recovery. We propose a novel contour matching method using geometrical information of the omnidirectional camera.
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© 2006 Springer-Verlag Berlin Heidelberg
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Hwang, Y., Hong, H. (2006). Quantitative Measure of Inlier Distributions and Contour Matching for Omnidirectional Camera Calibration. In: Zhuang, Y., Yang, SQ., Rui, Y., He, Q. (eds) Advances in Multimedia Information Processing - PCM 2006. PCM 2006. Lecture Notes in Computer Science, vol 4261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922162_102
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DOI: https://doi.org/10.1007/11922162_102
Publisher Name: Springer, Berlin, Heidelberg
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