使用形状上下文进行高效形状匹配。
Efficient shape matching using shape contexts.
作者信息
Mori Greg, Belongie Serge, Malik Jitendra
机构信息
School of Computing Science, Simon Fraser University, Burnaby, BC, Canada.
出版信息
IEEE Trans Pattern Anal Mach Intell. 2005 Nov;27(11):1832-7. doi: 10.1109/TPAMI.2005.220.
PMID:16285381
Abstract
We demonstrate that shape contexts can be used to quickly prune a search for similar shapes. We present two algorithms for rapid shape retrieval: representative shape contexts, performing comparisons based on a small number of shape contexts, and shapemes, using vector quantization in the space of shape contexts to obtain prototypical shape pieces.
摘要
我们证明形状上下文可用于快速删减对相似形状的搜索。我们提出了两种用于快速形状检索的算法：代表性形状上下文，基于少量形状上下文进行比较；以及形状元，在形状上下文空间中使用矢量量化来获得原型形状片段。
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