...
首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Perceptually relevant and piecewise linear matching of silhouettes
【24h】

Perceptually relevant and piecewise linear matching of silhouettes

机译:轮廓的感知相关和分段线性匹配

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In this paper, a novel alignment method for silhouettes is proposed. This method is based on the establishment of correspondences between landmarks on their boundaries and, in turn, on the establishment of correspondences of the boundary pieces in between these landmarks. The method yields more correct correspondences than conventional methods that scale the arc-length descriptions of silhouettes to align them. The selection of landmarks is investigated as to the robustness of their localization and their perceptual relevance. Matching of silhouettes is then achieved by quantifying the dissimilarity of a pair of silhouette boundaries, based on a novel dissimilarity metric. The matching procedure is evaluated, based on retrieval experiments, and it is concluded that the precision of the results is higher than that obtained by conventional pointwise comparison methods. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种新颖的轮廓对齐方法。该方法基于在其边界上的地标之间的对应关系的建立,进而基于在这些地标之间的边界段的对应关系的建立。与按比例缩放轮廓的弧长描述以使其对齐的常规方法相比,该方法可产生更正确的对应关系。研究了地标的选择及其定位的鲁棒性和感知相关性。然后,基于新颖的相异性度量,通过量化一对轮廓边界的相异性来实现轮廓的匹配。在检索实验的基础上,对匹配过程进行了评估,得出的结论是,结果的精度高于传统的逐点比较方法。 (C)2004模式识别学会。由Elsevier Ltd.出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号