Paper Info
Title
Soft methods for bounding the uncertainty of stereo calibration and triangulation
Abstract
3D triangulation with stereo vision is subjected to different sources of uncertainty that propagate to the final result. In previous work it has been shown that the tolerance of the triangulation can be delimited by extending calculations to interval data. Notwithstanding this, in this paper it will be shown that this kind of estimation may produce too loose bounds in many practical circumstances. A Soft Computing based algorithm is proposed instead that improves prior methods. A sample of combinations of calibration points extrema is used to generate a set of camera calibration parameters. A fuzzy set is fitted to this last set of data, that measures the compatibility of 3D coordinates with a pair of 2D matched images.
Year
DOI
Venue
2013
10.1109/FUZZ-IEEE.2013.6622482
Fuzzy Systems
Keywords
Field
DocType
calibration,cameras,fuzzy set theory,image matching,stereo image processing,uncertainty handling,2D matched images,3D coordinates,3D triangulation,calibration point extrema,camera calibration parameters,fuzzy set,soft computing-based algorithm,soft methods,stereo calibration,stereo vision,uncertainty bound,uncertainty sources,Computer Vision,fuzzy sets,interval-valued arithmetic,stereo
Computer vision,Computer science,Maxima and minima,Fuzzy set,Triangulation (social science),Camera resectioning,Artificial intelligence,Soft computing,Machine learning,Calibration,Bounding overwatch,Computer stereo vision
Conference
ISSN
ISBN
Citations 
1098-7584
978-1-4799-0020-6
0
PageRank 
References 
Authors
0.34
13
2
Name
Order
Citations
PageRank
José Otero155224.66
Luciano Sánchez2426.85