Automated checkerboard detection and indexing using circular boundaries

Cited 16 time in webofscience Cited 0 time in scopus
  • Hit : 307
  • Download : 0
This paper presents a new algorithm for automated checkerboard detection and indexing. Automated checkerboard detection is essential for reducing user inputs in any camera calibration process. We adopt an iterative refinement algorithm to extract corner candidates. In order to utilize the characteristics of checkerboard corners, we extract a circular boundary from each candidate and find its sign-changing indices. We initialize an arbitrary point and its neighboring two points as seeds and assign world coordinates to the other points. The largest set of world-coordinate-assigned points is selected as the detected checkerboard. The performance of the proposed algorithm is evaluated using images with various sizes and particular conditions.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2016-02
Language
English
Article Type
Article
Keywords

CAMERA CALIBRATION; IMAGE

Citation

PATTERN RECOGNITION LETTERS, v.71, pp.66 - 72

ISSN
0167-8655
DOI
10.1016/j.patrec.2015.12.008
URI
http://hdl.handle.net/10203/207974
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 16 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0