索引树用于有效的可变形形状检索

Lifeng Liu, S. Sclaroff
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引用次数: 7

摘要

描述了一种改进的基于可变形形状的图像索引和检索方法。使用预先计算的索引树来提高我们之前报道的在线模型拟合方法的速度;简单的形状特征被用作预先生成的模型实例索引树中的键。在树的不同层次上使用了从粗到精的索引方案,以进一步提高速度。实验结果表明,在保持基于形状的索引精度的前提下,该方法具有明显的加速效果。描述了一种基于形状种群的检索方法。该方法允许基于每个图像中形状的总体分布的查询公式。结果基于人群查询的血细胞显微图数据库显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Index trees for efficient deformable shape-based retrieval
An improved method for deformable shape-based image indexing and retrieval is described. A pre-computed index tree is used to improve the speed of our previously reported online model fitting method; simple shape features are used as keys in a pre-generated index tree of model instances. A coarse-to-fine indexing scheme is used at different levels of the tree to further improve speed. Experimental results show that the speedup is significant, while the accuracy of shape-based indexing is maintained. A method for shape population-based retrieval is also described. The method allows query formulation based on the population distributions of shapes in each image. Results of population-based queries for a database of blood cell micrographs are shown.
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