SHAPE FROM POINT FEATURES

被引:0
|
作者
Gu, Steve [1 ]
Zheng, Ying [1 ]
Tomasi, Carlo [1 ]
机构
[1] Duke Univ, Dept Comp Sci, Durham, NC 27708 USA
关键词
alpha shapes; object segmentation;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
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 alpha-complex by Edelsbrunner et al. to build a filtration of simplicial complexes from a user-provided set of features. The optimal value of alpha 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 log K) time. For VGA-resolution images, computation takes typically less than 10 milliseconds. We use our method for interactive object cut, with promising results.
引用
收藏
页码:1425 / 1428
页数:4
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