Title :
Lococo: low complexity corner detector
Author :
Mainali, Pradip ; Yang, Qiong ; Lafruit, Gauthier ; Lauwereins, Rudy ; Gool, L.V.
Author_Institution :
Katholieke Univ. Leuven, Leuven, Belgium
Abstract :
The high-speed feature detection is still very demanding for many computer vision applications. In this paper, the Harris and KLT corner detectors are redesigned to reduce the complexity of the algorithm. The complexity of Harris and KLT corner detectors are reduced by using the box kernel, the integral image and efficient non-maximum suppression, achieving complexity reduction by a factor of 8. For the image of size 1000×700, our method costs only 74ms on a commodity CPU with 2GHz and 1GB RAM.
Keywords :
computer vision; edge detection; feature extraction; Harris corner detectors; KLT corner detectors; Lococo; box kernel; computer vision; high-speed feature detection; low complexity corner detector; Application software; Computer vision; Costs; Detectors; Karhunen-Loeve transforms; Kernel; Read-write memory; Corner; Feature; Harris; KLT;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5494944
