A Cost Function for the Uncertainty of Matching Point Distribution on Image Registration
| Autor: | Chu Yongbin, Xia Zhiye, Bian Yuxia, Shuhong Fang, Meizhen Wang, Liu Zhihong, Jun Chen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Dilution of precision
Geography (General) Matching (statistics) Computer science 020208 electrical & electronic engineering Geography Planning and Development ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image registration horizontal dilution of precision 02 engineering and technology Function (mathematics) Fixed point Image (mathematics) image registration Point distribution model matching point distribution Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering Earth and Planetary Sciences (miscellaneous) G1-922 020201 artificial intelligence & image processing average of symmetric transfer errors Computers in Earth Sciences Quantization (image processing) Algorithm |
| Zdroj: | ISPRS International Journal of Geo-Information Volume 10 Issue 7 ISPRS International Journal of Geo-Information, Vol 10, Iss 438, p 438 (2021) |
| ISSN: | 2220-9964 |
| DOI: | 10.3390/ijgi10070438 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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