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A fractured surfaces matching algorithm for reassembling broken solids is proposed. the algorithm first defines point bumpiness based on integral invariants that is robust to noise. Using the bumpiness feature points are picked from fractured surface. Subsequently initial matching point pairs are obtained by comparing multi-scale integral invariants of feature points and outliers are discarded according...
We propose a fractured surfaces matching algorithm for reassembling broken solids. The algorithm first use a multi-scale curvedness-based method to select feature points and remove less reliable feature points according to confidence value. Subsequently we obtain matching point pairs through measuring the similarity of local surface patches which are described by 3D histogram. After that we employ...
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