DocumentCode :
3365690
Title :
Robust recognition of calibration charts
Author :
Kittler, Josef
Volume :
2
fYear :
1997
fDate :
14-17 Jul 1997
Firstpage :
487
Abstract :
Methods for recovering 3D pose and internal camera parameters from a single view of a planar calibration chart have been reported in the literature. The mathematics of the computation is well understood, but the lack of robust feature detectors prevents off-the-shelf use. We present a fast and robust recognition approach for the detection of a common calibration chart. After establishing the methodological framework, we check the result on a wide range of real data. We show that the approach is robust over a range of scale, illumination and occlusion. We argue that with this capability we should be able to (a) establish camera position with respect to a landmark (b) recognise an object which is tagged with the calibration chart and (c) test any camera calibration and 3D pose estimation routines, thus helping towards future research and applications in mobile robots navigation, 3D reconstruction and stereo vision
Keywords :
calibration; 3D pose estimation routines; 3D pose recovery; 3D reconstruction; camera parameters; camera position; fast recognition approach; illumination; landmark; mobile robots navigation; occlusion; planar calibration chart; robust feature detectors; robust recognition; scale; stereo vision;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location :
Dublin
ISSN :
0537-9989
Print_ISBN :
0-85296-692-X
Type :
conf
DOI :
10.1049/cp:19970941
Filename :
615573
Link To Document :
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