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Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo
In this paper, we present a new method to qualitatively compare two linear SSMs in dense correspondence by computing approximate intersection spaces and set-theoretic differences between the (hyper-ellipsoidal) allowable shape domains spanned by the models.
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