Search results for key=SqC1997 : 1 match found.

Search my entire BibTeX database
Output format: Text
BibTeX entry
     Combine using:

Abstract icon Abstract BibTeX icon BibTeX entry Postscript icon Postscript PDF icon PDF PPT icon Powerpoint

Technical Reports


  • @techreport{SqC1997,
    	vgclass =	{report},
    	vgproject =	{nn,invariance},
    	author =	{David McG. Squire and Terry M. Caelli},
    	title =	{Invariance Signatures: Characterizing contours by their
    	departures from invariance},
    	number =	{97.04},
    	institution =	{Computer Vision Group,  Computing Centre, University
    	of Geneva},
    	address =	{rue G\'{e}n\'{e}ral Dufour, 24, CH-1211 Gen\`{e}ve,
    	month =	{April},
    	year =	{1997},
    	url =	{/publications/postscript/1997/VGTR97.04_SquireCaelli.pdf},
    	url1 =	{/publications/postscript/1997/},
    	abstract =	{In this paper, a new invariant feature of two-dimensional
    	contours is reported: the Invariance Signature. The Invariance
    	Signature is a measure of the degree to which a contour is invariant
    	under a variety of transformations, derived from the theory of Lie
    	transformation groups. Since it is derived from local properties of the
    	contour, it is well-suited to a neural network implementation. It is
    	shown that a Model-Based Neural Network (MBNN) can be constructed which
    	computes the Invariance Signature of a contour, and classifies patterns
    	on this basis. Experiments demonstrate that Invariance Signature
    	networks can be employed successfully for shift-, rotation- and
    	scale-invariant optical character recognition.},