A Real-Time SIFT Feature Extraction Algorithm

被引：0
|
作者：
Li H.-Y. [1 ]
Wang Q. [1 ]
机构：
[1] School of Automation Science and Electrical Engineering, Beihang University, Beijing
来源：
| 1600年 / China Spaceflight Society卷 / 38期
关键词：
Contrast enhancement; DAISY descriptor; Image matching; Scale-invariant feature transform (SIFT);
D O I：
10.3873/j.issn.1000-1328.2017.08.011
中图分类号：
学科分类号：
摘要：
In order to be implemented for real-time execution and use color information, an improved scale-invariant feature transform (SIFT) algorithm based on the contrast enhancement and DAISY descriptor is proposed in this paper. The color offset and the exposure offset of the pixel are calculated from the color image and the original grayscale image. The two offsets are added to the gray level to gain the contrast enhancing image according to which the SIFT feature points and the main directions are got. The DAISY descriptor of the feature point is obtained from the partial derivative values of the feature point and the sampling points with different directions. To evaluate the accuracy of the algorithm under different view changes, the feature points extracted from the standard image data sets are matched by the K-nearest neighbor (KNN) algorithm. The experimental results show that the algorithm can obtain more feature points. Furthermore, it guarantees the accuracy while reducing the time of the descriptor generating process and the feature matching process. © 2017, Editorial Dept. of JA. All right reserved.
引用
收藏
页码：865 / 871
页数：6
相关论文
共 22 条
  • [1] Liu Y., Wang J.-D., Li P., A feature point tracking method based on the combination of SIFT algorithm and KLT matching algorithm, Journal of Astronautics, 32, 7, pp. 1618-1625, (2011)
  • [2] Gong J.-B., Zhang D.-Z., Yang X.-M., Et al., Automatic registration algorithm for SAR and optical image with rotation and scale invariability, Journal of Astronautics, 32, 6, pp. 1350-1358, (2011)
  • [3] Wang H.-M., Li Y.-J., Zhang K., An image matching algorithm based on contourlet transform, Journal of Astronautics, 29, 5, pp. 1643-1647, (2008)
  • [4] Zhang K., Wang H.-M., Li Y.-J., A robust steerable pyramid-based image matching algorithm, Journal of Astronautics, 26, 6, pp. 717-721, (2005)
  • [5] Li Y., Ye P.-J., Peng J., Et al., Egress mechanism recognition and slope measurement for Mars exploration, Journal of Astronautics, 37, 2, pp. 169-174, (2016)
  • [6] Ma W.P., Wen Z.L., Wu Y., Et al., Remote sensing image registr-ation with modified SIFT and enhanced feature matching, IEEE Geoscience & Remote Sensing Letters, 99, pp. 1-5, (2016)
  • [7] Chen F., Xiong Z., Xu Y.-X., Et al., Research on the fast scene matchin algorithm in the inertial integrated navigation system, Journal of Astronautics, 30, 6, pp. 2308-2316, (2009)
  • [8] Toshihiko M., Tatsuaki H., Keiken N., Optical guidance for autonomous landing of spacecraft, IEEE Transaction on Aerospace and Electronic Systems, 35, 2, pp. 459-473, (1999)
  • [9] Sun X.-W., Li Y.-J., Chen Y., A novel infrared object tracking method, Journal of Astronautics, 29, 5, pp. 1637-1642, (2008)
  • [10] Hao G.-T., Du X.-P., Song J.-J., Relative pose estimation of space tumbling non-cooperative target based on vision-only SLAM, Journal of Astronautics, 36, 6, pp. 706-714, (2015)
123