Title :
Candidate pruning for fast corner detection
Author :
Alkaabi, S. ; Deravi, F.
Author_Institution :
Dept. of Electron., Univ. of Kent, Canterbury, UK
Abstract :
A novel scheme for fast corner detection is presented. This is based on pruning candidate corners to reduce the need for computing local autocorrelation. The algorithm is tested on real image sequences and compared with other widely used corner detectors.
Keywords :
computational complexity; correlation methods; edge detection; eigenvalues and eigenfunctions; image sequences; autocorrelation algorithm fusion; candidate pruning; cascaded detector; computational effort; eigenvalues; fast corner detection; real image sequences; thresholding;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20040023
