Scale & Affine Invariant Interest Point Detectors

被引：5

作者：

Krystian Mikolajczyk

Cordelia Schmid

机构：

[1] INRIA Rhne-Alpes GRAVIR-CNRS,

来源：

International Journal of Computer Vision | 2004年 / 60卷

关键词：

interest points; local features; scale invariance; affine invariance; matching; recognition;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper we propose a novel approach for detecting interest points invariant to scale and affine transformations. Our scale and affine invariant detectors are based on the following recent results: (1) Interest points extracted with the Harris detector can be adapted to affine transformations and give repeatable results (geometrically stable). (2) The characteristic scale of a local structure is indicated by a local extremum over scale of normalized derivatives (the Laplacian). (3) The affine shape of a point neighborhood is estimated based on the second moment matrix.

引用

页码：63 / 86

页数：23

共 28 条

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