Paper Info
Title
Quantitative measure of inlier distributions and contour matching for omnidirectional camera calibration
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.
Year
DOI
Venue
2006
10.1007/11922162_102
PCM
Keywords
Field
DocType
standard deviation
Omnidirectional camera,Omnidirectional antenna,Computer vision,Line segment,Pattern recognition,Image matching,Computer science,Camera auto-calibration,Contour matching,Artificial intelligence,Standard deviation,Calibration
Conference
Volume
ISSN
ISBN
4261
0302-9743
3-540-48766-2
Citations 
PageRank 
References 
0
0.34
14
Authors
2
Name
Order
Citations
PageRank
Yongho Hwang1125.74
Hyun-ki Hong26414.17