DocumentCode
1742352
Title
A sub-pixel and multispectral corner detector
Author
Achard, Catherine ; Bigorgne, Erwan ; Devars, Jean
Author_Institution
Lab. des Instrum. et Syst., Univ. Pierre et Marie Curie, Paris, France
Volume
3
fYear
2000
fDate
2000
Firstpage
959
Abstract
Proposes in a corner detector algorithm, which leads to results both on mono-spectral and multispectral images. To validate the method, we compare its mono-spectral version to the Harris detector, which is the most frequently used in literature. This study shows that the proposed method gives generally more efficient results. However, bad localisations appear for very blurred images (as for most corner detectors). Therefore, we have implemented a sub-pixel detector able to find the exact corner position
Keywords
edge detection; matrix algebra; Harris detector; bad localisations; corner detector algorithm; exact corner position; mono-spectral images; multispectral images; sub-pixel detector; very blurred images; Approximation algorithms; Autocorrelation; Detectors; Image edge detection; Instruments; Multispectral imaging; Parametric statistics; Robustness; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903704
Filename
903704
Link To Document