AN EMPIRICAL EVALUATION OF INTEREST POINT DETECTORS

被引：5

作者：

Barandiaran, Inigo ^{[1
,2
]}

Grana, Manuel ^{[1
]}

Nieto, Marcos ^{[2
]}

机构：

[1] Univ Basque Country, GIC, Dept CCIA, San Sebastian 20018, Spain

[2] Vicomtech IK4, San Sebastian 20009, Spain

来源：

CYBERNETICS AND SYSTEMS | 2013年 / 44卷 / 2-3期

关键词：

computer vision; feature descriptors; interest points; point matching;

D O I：

10.1080/01969722.2013.762232

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image interest point extraction and matching across images is a commonplace task in computer visionbased applications, across widely diverse domains, such as 3D reconstruction, augmented reality, or tracking. We present an empirical evaluation of state-of-the-art interest point detection algorithms measuring several parameters, such as efficiency, robustness to image domain geometric transformationsthat is, similarityaffine or projective transformations, as well as invariance to photometric transformations such as light intensity or image noise.

引用

页码：98 / 117

页数：20

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