Performance evaluation of scale-interpolated Hessian-Laplace and Haar descriptors for feature matching

被引：3

作者：

Bhatia, Akshay ^{[1
]}

Laganiere, Robert ^{[1
]}

Roth, Gerhard ^{[2
]}

机构：

[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada

[2] Natl Res Council Canada, Inst Informat Technol, Ottawa, ON K1A 0R6, Canada

来源：

14TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/ICIAP.2007.4362758

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper studies the performance of various scale-invariant detectors in the context of feature matching. In particular, we propose an implementation of the Hessian-Laplace operator that we called Scale-Interpolated Hessian-Laplace. This research also proposes to use Haar descriptors which are derived from the Haar wavelet transform. It offers the advantage of being computationally inexpensive and smaller in size when compared to other descriptors.

引用

页码：61 / +

页数：2

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