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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903704