A pixel dissimilarity measure that is insensitive to image sampling
Birchfield, S.
Tomasi, C.
Dept. of Comput. Sci., Stanford Univ., CA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Apr 1998
Volume: 20,
Issue: 4
On page(s): 401-406
ISSN: 0162-8828
References Cited: 13
CODEN: ITPIDJ
INSPEC Accession Number: 5935391
Digital Object Identifier: 10.1109/34.677269
Current Version Published: 2002-08-06
Abstract
Because of image sampling, traditional measures of pixel
dissimilarity can assign a large value to two corresponding pixels in a
stereo pair, even in the absence of noise and other degrading effects.
We propose a measure of dissimilarity that is provably insensitive to
sampling because it uses the linearly interpolated intensity functions
surrounding the pixels. Experiments on real images show that our measure
alleviates the problem of sampling with little additional computational
overhead
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