Journal of Computer Applications ›› 2019, Vol. 39 ›› Issue (7): 2093-2097.DOI: 10.11772/j.issn.1001-9081.2018122564

• Virtual reality and multimedia computing • Previous Articles     Next Articles

Accelerated KAZE-SIFT feature extraction algorithm for oblique images

BO Dan<sup>1,2</sup>, LI Zongchun<sup>1</sup>, WANG Xiaonan<sup>2</sup>, QIAO Hanwen<sup>2</sup>   

  1. 1. Institute of Geospatial Information, Information Engineering University, Zhengzhou Henan 450001, China;
    2. Luoyang Electronic Equipment Testing Center, Luoyang Henan 471003, China
  • Received:2019-01-02 Revised:2019-02-28 Online:2019-04-09 Published:2019-07-10
  • Supported by:

    This work is partially supported by the National Natural Science Foundation of China Youth Foud (41701463), the Key Scientific and Technological Project of Henan Province (172102210020).


薄单1,2, 李宗春1, 王晓南2, 乔涵文2   

  1. 1. 信息工程大学 地理空间信息学院, 郑州 450001;
    2. 中国洛阳电子装备试验中心, 河南 洛阳 471003
  • 通讯作者: 李宗春
  • 作者简介:薄单(1985-),男,安徽太和人,工程师,硕士研究生,主要研究方向:计算机视觉、精密工程测量;李宗春(1973-),男,山东日照人,教授,博士,主要研究方向:精密工程测量、计算机视觉;王晓南(1986-),男,河南内乡人,工程师,主要研究方向:大地测量、工程测量;乔涵文(1993-),女,湖北枣阳人,助理工程师,主要研究方向:大地测量、工程测量。
  • 基金资助:



Concerning that traditional vertical image feature extraction algorithms have poor effect on oblique image matching, a feature extraction algorithm, based on Accelerated KAZE (AKAZE) and Scale Invariant Feature Transform (SIFT) algorithm called AKAZE-SIFT was proposed. Firstly, in order to guarantee the accuracy and distinctiveness of image feature detection, AKAZE operator, which fully preserves the contour information of image, was utilized for feature detection. Secondly, the robust SIFT operator was used to improve the stability of feature description. Thirdly, the rough matching point pairs were determined by the Euclidean distance between object feature point vector and candidate feature point vectors. Finally, the homography constraint was applied to improve the matching purity by random sample consensus algorithm. To evaluate the performance of the feature extraction algorithm, the blur, rotation, brightness, viewpoint and scale changes under the condition of oblique photography were simulated. The experimental results show that compared with SIFT algorithm and AKAZE algorithm, the recall of AKAZE-SIFT is improved by 12.8% and 5.3% respectively, the precision of AKAZE-SIFT is increased by 6.5% and 6.1% respectively, the F1 measure of AKAZE-SIFT is elevated by 13.8% and 5.6% respectively and the efficiency of the proposed algorithm is higher than that of SIFT and slightly worse than that of AKAZE. For the excellent detection and description performance, AKAZE-SIFT algorithm is more suitable for oblique image feature extraction.

Key words: Accelerated KAZE (AKAZE) algorithm, Scale Invariant Feature Transform (SIFT) algorithm, oblique image, feature extraction, feature matching



关键词: 加速KAZE算法, 尺度不变特征变换算法, 倾斜影像, 特征提取, 特征匹配

CLC Number: