Matching of Aerospace Photographs with the use of Local Features

1st International Scientific School on Methods of Digital Image Processing in Optics and Photonics

物理学;计算机科学

Malashin, R.^1

Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, 49 Kronverkskiy pr., Saint-Petersburg

197101, Russia^1

关键词: Complex procedure;    Computer vision problems;    Digital image;    High-accuracy;    Key-point detectors;    Local feature;    Outlier elimination;    Scale and rotation;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/536/1/012018/pdf
DOI  :  10.1088/1742-6596/536/1/012018

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Matching of digital images is very challenging computer vision problem. The aim of investigation was developing of algorithms for matching real aerial and cosmic photographs. In the proposed methods, images are described locally by scale and rotation invariant descriptors. Reliability and high accuracy of the algorithms has been achieved by combining dense keypoint detector and robust descriptor with complex procedure of outlier elimination. The algorithms are capable of making correct decisions when number of local mismatches is more than 99%.