Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization

  title={Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization},
  author={Min Meng and Jiazhi Xia and Jun Luo and Ying He},
  journal={Computer-Aided Design},
This paper presents an unsupervised algorithm for co-segmentation of a set of 3D shapes of the same family. Taking the over-segmentation results as input, our approach clusters the primitive patches to generate an initial guess. Then, it iteratively builds a statistical model to describe each cluster of parts from the previous estimation, and employs the multi-label optimization to improve the co-segmentation results. In contrast to the existing ‘‘one-shot’’ algorithms, our method is superior… CONTINUE READING
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