A Cost Function for the Uncertainty of Matching Point Distribution on Image Registration
Open Access
- 25 June 2021
- journal article
- research article
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 10 (7), 438
- https://doi.org/10.3390/ijgi10070438
Abstract
Computing the homography matrix using the known matching points is a key step in computer vision for image registration. In practice, the number, accuracy, and distribution of the known matching points can affect the uncertainty of the homography matrix. This study mainly focuses on the effect of matching point distribution on image registration. First, horizontal dilution of precision (HDOP) is derived to measure the influence of the distribution of known points on fixed point position accuracy on the image. The quantization function, which is the average of the center points’ HDOP* of the overlapping region, is then constructed to measure the uncertainty of matching distribution. Finally, the experiments in the field of image registration are performed to verify the proposed function. We test the consistency of the relationship between the proposed function and the average of symmetric transfer errors. Consequently, the proposed function is appropriate for measuring the uncertainty of matching point distribution on image registration.Keywords
Funding Information
- Chengdu Science and Technology Bureau (2019-YF05 -02641-SN)
- Department of Science and Technology of Sichuan Province (2020YFG0146 2020YFG0144 2019YFS0472)
- National Natural Science Foundation of China (41771535 41601422)
- School Undergraduate Teaching Project (BKJX2020030)
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