A rotationally invariant two-phase scheme for corner detection

Authors:
Hsin-Teng Sheu;Wu-Chih Hu
Affiliations:
Department of Electrical Engineering, National Taiwan Institute of Technology, 43, Keelung Rd. Sec. 4, Taipei, Taiwan, Republic of China and Department of Electrical Engineering, National Taiwan I ...;Department of Electrical Engineering, National Taiwan Institute of Technology, Taipei, Taiwan, Republic of China
Venue:
Pattern Recognition
Year:
1996

Citing 11
Cited 4

Corner detection and curve representation using cubic B-spline

Computer Vision, Graphics, and Image Processing
An improved corner detection algorithm based on chain-coded plane curves

Pattern Recognition
Parallel algorithm for corner finding on digital curves

Pattern Recognition Letters
Identification of cornerpoints of two-dimensional images using a line search method

Pattern Recognition
Contour Tracking and Corner Detection in a Logic Programming Environment

IEEE Transactions on Pattern Analysis and Machine Intelligence
Moment-preserving corner detection

Pattern Recognition
Corner detection

Pattern Recognition
Scale-Based Detection of Corners of Planar Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Corner-Finding Algorithm for Chain-Coded Curves

IEEE Transactions on Computers
An Improved Method of Angle Detection on Digital Curves

IEEE Transactions on Computers
Angle Detection on Digital Curves

IEEE Transactions on Computers

Multiprimitive Segmentation of Planar Curves-A Two-Level Breakpoint Classification and Tuning Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving fitting quality of polygonal approximation by using the dynamic programming technique

Pattern Recognition Letters
Method for polygonal approximation through dominant points deletion

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Polygonal approximation of digital planar curves through vertex betweenness

Information Sciences: an International Journal

Quantified Score

Hi-index	0.01

Visualization

Abstract

A rotationally invariant two-phase scheme is proposed for the detection of corners. In the first phase, the curvature of each point on the curve is calculated based on the coordinates of five consecutive skipped points and the assumption that thes five points form a B-spline curve. The points with significant curvatures are collected as candidate corners. During the second phase, the candidate corners are verified for deviations in the global trend of the curve and the candidate corners due to quantization are removed using a self-adjusting dot-product window. Application of the propsed method on the examples given in the literature shows that it is both minimal in computation time and accurate and stable in the detected position of corners. With the proposed method, recognition of an object can be convenient, since the corners detected are rotationally invariant.