Local grayvalue invariants for image retrieval
Local grayvalue invariants for image retrieval
复制标题
DOI：
10.1109/34.589215
复制
发表时间：
1997-05-01
影响因子：
23.6
通讯作者：
Mohr, R
中科院分区：
文献类型：
--
作者：
Schmid, C;Mohr, R
本文解决了从大型图像数据库中检索图像的问题。该方法基于在自动检测到的兴趣点处计算的局部灰度值不变量。投票算法和半局部约束使检索成为可能。索引允许从包含 1,000 多张图像的数据库中进行高效检索。实验结果表明，在部分可见性、相似性变换、无关特征和小透视变形的情况下，检索是正确的。
This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue invariants which are computed at automatically detected interest points. A voting algorithm and semilocal constraints make retrieval possible. Indexing allows for efficient retrieval from a database of more than 1,000 images. Experimental results show correct retrieval in the case of partial visibility, similarity transformations, extraneous features, and small perspective deformations.