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A pixel dissimilarity measure that is insensitive to image sampling

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2 Author(s)
Birchfield, S. ; Dept. of Comput. Sci., Stanford Univ., CA, USA ; Tomasi, C.

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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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:20 ,  Issue: 4 )