Paper Info
Title
Automatic Corner Matching In Highly Distorted Images Of Zhang'S Calibration Pattern
Abstract
Zhang's method is a widely used technique for camera calibration from different views of a planar calibration pattern. This pattern contains a set of squares arranged in a certain configuration. In order to calibrate the camera, the corners of the squares in the images must be matched with those in the reference model. When the images show a strong lens distortion, the usual methods to compute the corner matching fail because the corners are shifted from their expected positions. We propose a new method which automatically estimates such corner matching taking into account the lens distortion. The method is based on an automatic algorithm for lens distortion correction which allows estimating the distorted lines passing through the edges of the squares. We present some experiments to illustrate the performance of the proposed method, as well as a comparison with the usual technique proposed in a Matlab toolbox.
Year
DOI
Venue
2014
10.1007/978-3-319-12568-8_91
PROGRESS IN PATTERN RECOGNITION IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2014
Keywords
Field
DocType
Zhang's method, camera calibration, lens distortion
Distortion (optics),Computer vision,Reference model,Pattern recognition,Computer science,Matlab toolbox,Camera resectioning,Planar,Artificial intelligence,Calibration,Zhàng
Conference
Volume
ISSN
Citations 
8827
0302-9743
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Miguel Alemán-Flores16912.06
Luis Álvarez281.58
Luis Gomez3376.88
Daniel Santana-Cedrés4356.01