Quantitative measure of inlier distributions and contour matching for omnidirectional camera calibration
- Authors
- Hwang, Yongho; Hong, Hyunki
- Issue Date
- Nov-2006
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2006, PROCEEDINGS, v.4261, pp 900 - 908
- Pages
- 9
- Journal Title
- ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2006, PROCEEDINGS
- Volume
- 4261
- Start Page
- 900
- End Page
- 908
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47984
- DOI
- 10.1007/11922162_102
- ISSN
- 0302-9743
1611-3349
- 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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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