Title :
Concurrent Edge and Corner Detection
Author :
Coleman, Sonya ; Kerr, Dermot ; Scotney, Bryan
Author_Institution :
Ulster Univ., Magee
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
To enable fast reliable feature matching or tracking in scenes, features need to be discrete and meaningful, and hence corner detection is often used for this purpose. However, to obtain a higher level description of an image, such as identification of objects, additional information such as edges is required, and more recently detectors have been proposed that find both edges and corners. We present a combined operator, enabling edge and corner detection to be achieved concurrently. We demonstrate that accuracy is comparable to well-known existing corner detectors and edge detectors, and, as standard post-smoothing of the corner map is not required, significantly reduced computation time can be achieved.
Keywords :
edge detection; image matching; corner detection; edge detection; feature matching; feature tracking; object identification; post-smoothing; Brightness; Concurrent computing; Detectors; Image edge detection; Image segmentation; Intelligent systems; Layout; Object detection; Product design; Robots;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379818