Title :
Pattern-based corner detection algorithm
Author :
Le, Xuesong ; Gonzalez, Ruben
Author_Institution :
Sch. of Inf., Commun., & Technol., Griffith Univ., Southport, QLD, Australia
Abstract :
In this paper, the problem of detecting corners is simplified into detecting geometric patterns in local neighborhood regions. This approach outperforms Harris corner detector, SIFT, FAST corner detector in terms of localisation, rotation invariant and noise robustness, invariant to luminance changes under common conditions.
Keywords :
edge detection; geometry; geometric pattern detection; local neighborhood regions; pattern-based corner detection algorithm; Australia; Communications technology; Detection algorithms; Detectors; Gold; Image edge detection; Intelligent systems; Noise robustness; Pixel; Postal services;
Conference_Titel :
Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on
Conference_Location :
Salzburg
Print_ISBN :
978-953-184-135-1
DOI :
10.1109/ISPA.2009.5297715