Low-complexity pruning for accelerating corner detection
Date of Issue2012
IEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea)
School of Computer Engineering
Centre for High Performance Embedded Systems
In this paper, we present a novel and computationally efficient pruning technique to speed up the Shi-Tomasi and Harris corner detectors. The proposed technique quickly prunes non-corners and selects a small corner candidate set by approximating the complex corner measure of Shi-Tomasi and Harris. The actual corner measure is then applied only to the reduced candidate set. Experimental results on the NiOS-II platform show that the proposed technique achieves an average execution time savings of 90% for Shi-Tomasi and 70% for Harris detectors for 500 corners with no loss in accuracy.
DRNTU::Engineering::Computer science and engineering
© 2012 IEEE.