Local grayvalue invariants for image retrieval

被引：866

作者：

Schmid, C ^{[1
]}

Mohr, R ^{[1
]}

机构：

[1] INRIA RHONE ALPES, F-38330 MONBONNOT ST MART, FRANCE

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1997年 / 19卷 / 05期

关键词：

image retrieval; image indexing; graylevel invariants; matching; interest points;

D O I：

10.1109/34.589215

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：530 / 535

页数：6

共 36 条

[1] HYPER - A NEW APPROACH FOR THE RECOGNITION AND POSITIONING OF TWO-DIMENSIONAL OBJECTS [J].