Shape from point features

Published

Journal Article

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 automatically by a search for the densest complex connected component, resulting in a parameter-free algorithm. Given K features, localization occurs in O(K logK) time. For VGA-resolution images, computation takes typically less than 10 milliseconds. We use our method for interactive object cut, with promising results. © 2012 IEEE.

Full Text

Duke Authors

Cited Authors

  • Gu, S; Zheng, Y; Tomasi, C

Published Date

  • October 23, 2012

Published In

Start / End Page

  • 1425 - 1428

International Standard Serial Number (ISSN)

  • 1520-6149

Digital Object Identifier (DOI)

  • 10.1109/ICASSP.2012.6288158

Citation Source

  • Scopus