Abstract:Segment-wise matching is an important research problem that supports higher-level understanding of shapes in geometry processing. Many existing segment-wise matching techniques assume perfect input segmentation, and would suffer from imperfect or over-segmented input. To handle this shortcoming, we propose multi-layer graphs (MLGs) to represent possible arrangements of partially merged segments of input shapes. We then adapt the diffusion pruning technique on the MLGs to find consistent segment-wise matching. … Show more
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