Consistent segment-wise matching with multi-layer graphs
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Abstract
Segment-wise matching is an important problem for higher-level understanding of shapes and geometry analysis. Many existing
segment-wise matching techniques assume perfect segmentation, and would suffer from imperfect or over-segmentation inputs.
To handle this shortcoming, we propose a multi-layer graph (MLG) to represent possible partially merged segments of input
shape. We adapt the diffusion pruning technique on the MLGs to find high quality segment-wise matching. Experimental results
on man-made shapes demonstrate the effectiveness of our method