DocumentCode
2795570
Title
Efficient Non-Parametric Corner Detection: An Approach Based on Small Eigenvalue
Author
Dinesh, R. ; Guru, D.S.
Author_Institution
Univ. of Mysore, Mysore
fYear
2007
fDate
28-30 May 2007
Firstpage
250
Lastpage
257
Abstract
In this paper, we present a fast non-parametric adaptive scheme for detecting corner points on a boundary curve. The accuracy of the proposed method steps from the use of an asymmetric region of support that automatically adopts to the scale of the corner point. The speed of the method is achieved based on a dynamic update of the covariance matrix used to determine the region of support. Several experiments have been conducted to revel the qualities of the proposed method and also to establish its superiority over several other existing methods.
Keywords
covariance matrices; curve fitting; eigenvalues and eigenfunctions; object detection; boundary curve; corner detection; corner point detection; covariance matrix; eigenvalue; Arm; Clocks; Computer science; Computer vision; Counting circuits; Covariance matrix; Eigenvalues and eigenfunctions; Parametric statistics; Robot vision systems; Adaptive region of; Corner detection; Small eigenvalue; support;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision, 2007. CRV '07. Fourth Canadian Conference on
Conference_Location
Montreal, Que.
Print_ISBN
0-7695-2786-8
Type
conf
DOI
10.1109/CRV.2007.25
Filename
4228546
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