Title :
Modeling edges at subpixel accuracy using the local energy approach
Author :
Kisworo, M. ; Venkatesh, Svetha ; West, Geoff
Author_Institution :
Sch. of Comput. Sci., Curtin Univ. of Technol., Perth, WA
fDate :
4/1/1994 12:00:00 AM
Abstract :
In this paper we describe a new technique for ID and 2D edge feature extraction to subpixel accuracy using edge models and the local energy approach. A candidate edge is modeled as one of a number of parametric edge models, and the fit is refined by a least-squared error fitting technique
Keywords :
computer vision; edge detection; feature extraction; 2D edge; ID and 2D edge; computer vision; feature extraction; least squared error fitting; local energy; parametric edge models; subpixel accuracy; Computer errors; Computer vision; Energy resolution; Face detection; Feature extraction; Image edge detection; Image resolution; Interpolation; Machine vision; Matched filters;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on