Shape from point features

  title={Shape from point features},
  author={Steve Gu and Ying Zheng and Carlo Tomasi},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
We present a nonparametric and efficient method for shape localization that improves on the traditional sub-window search in capturing the fine geometry of an object from a small number of feature points. Our method implies that the discrete set of features capture more appearance and shape information than is commonly exploited. We use the a-complex by Edelsbrunner et al. to build a filtration of simplicial complexes from a user-provided set of features. The optimal value of a is determined… CONTINUE READING


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