TY - GEN
T1 - A novel linear time corner detection algorithm
AU - Sarfraz, M.
AU - Rasheed, A.
AU - Muzaffar, Z.
PY - 2005
Y1 - 2005
N2 - In areas like pattern recognition, motion analysis, outline capturing, reconstruction of objects etc, the corners of an object play a very vital role as of features for shape representation and analysis. We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. It is very efficient and as well as accurate. This scheme works for both, smooth planner and irregular planner shapes. Test results of this algorithm are compared with some commonly referred corner detectors. The experiments show that this method leads to good quality results and robustness to noise with low computational cost.
AB - In areas like pattern recognition, motion analysis, outline capturing, reconstruction of objects etc, the corners of an object play a very vital role as of features for shape representation and analysis. We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. It is very efficient and as well as accurate. This scheme works for both, smooth planner and irregular planner shapes. Test results of this algorithm are compared with some commonly referred corner detectors. The experiments show that this method leads to good quality results and robustness to noise with low computational cost.
UR - https://www.scopus.com/pages/publications/33748881024
U2 - 10.1109/CGIV.2005.7
DO - 10.1109/CGIV.2005.7
M3 - Conference contribution
AN - SCOPUS:33748881024
SN - 0769523927
SN - 9780769523927
T3 - Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005
SP - 191
EP - 196
BT - Proceedings of the Conference on Computer Graphics, Imaging and Vision
ER -