Point symmetry based corner detector with distance and phase weight functions

Authors:
Eun-Jin Park;Jong-Hwa Kim;Kyung-Seok Seo;Heung-Moon Choi
Affiliations:
Department of Electronics, Graduate School, Kyungpook National University, Daegu, Korea;Department of Electronics, Graduate School, Kyungpook National University, Daegu, Korea;Department of Electronics, Graduate School, Kyungpook National University, Daegu, Korea;Department of Electronics, Graduate School, Kyungpook National University, Daegu, Korea
Venue:
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Year:
2006

Citing 3
Cited 0

Robust Image Corner Detection Through Curvature Scale Space

IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of gray level corner detection

Pattern Recognition Letters
Exact corner location using attentional generalized symmetry transform

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel corner detection algorithm is proposed in this paper. After point symmetry transform of edge pixels in the area of local window by the corner point as center of symmetry, there is no intersection between the original edge pixels and the point symmetry transformed edge pixels for the corner. On the other hand, there must be at least one intersection point between them for the noncorner. Corner detector that detects the exact locations of the real corners is proposed by using these corner properties. After corner candidates are extracted by point symmetry transform of the edge image, distance weight function and phase weight function eliminate false corners for the corner verification and the exact localization of the real corners.