Performance evaluation for feature extractors on street view images

被引：6
|
作者：
Guzel, Mehmet Serdar [1 ]
机构：
[1] Ankara Univ, Dept Comp Engn, TR-06830 Ankara, Turkey
来源：
IMAGING SCIENCE JOURNAL | 2016年 / 64卷 / 01期
关键词：
Feature extractor; Feature detector and descriptor; Hybrid architecture; Street view images; Image matching; CORNER DETECTION; HOUGH TRANSFORM; RECOGNITION;
D O I：
10.1080/13682199.2015.1109783
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
This paper comprises a comprehensive evaluation of popular feature extractor algorithms used in the analysis of street view images. Feature extractors are considered to consist of two main parts, namely, feature detectors and feature descriptors. This study aims to evaluate state-of-the-art feature extractors under different experimental conditions. Hybrid algorithms generated from current feature detectors and descriptors are tested under the same experimental conditions. The expected outcome of the experimental procedures should facilitate the selection of distinctive and robust extractors for different viewing conditions.
引用
收藏
页码：26 / 33
页数：8
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