DocumentCode :
3514149
Title :
Pyramidal robust Hausdorff distance for object matching
Author :
Sim, Dong-Gyu ; Kwon, Oh-Kyu ; Park, Rae-Hong
Author_Institution :
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
88
Abstract :
This paper proposes two Hausdorff distance (HD) matching algorithms, in which robust HD measures are implemented in pyramidal structures. By computer simulations, the matching performance of the conventional HD measures and the proposed robust HD matching algorithms using pyramidal structures is compared, with real images which are degraded by noise and occlusions
Keywords :
digital simulation; image matching; object recognition; computer simulations; matching performance; noise; object matching; occlusions; pyramidal robust Hausdorff distance; pyramidal structures; real images; Computer simulation; Computer vision; Cost function; Degradation; High definition video; Noise measurement; Noise robustness; Pollution measurement; Size measurement; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.819525
Filename :
819525
Link To Document :
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