Quantitative measure of inlier distributions and contour matching for omnidirectional camera calibration

Authors:
Yongho Hwang;Hyunki Hong
Affiliations:
Dept. of Image Eng., Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang Univ.;Dept. of Image Eng., Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang Univ.
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

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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.