Stitching method for distorted image based on SIFT feature matching
| Autor: | Jiping Wu, Tongmin Liu, Zetao Jiang, Xi Tong, Dejing Cui |
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| Předmět: |
Image quality
business.industry Computer science Template matching ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Pattern recognition Computer Science::Human-Computer Interaction GeneralLiterature_MISCELLANEOUS Image stitching Image texture Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Image restoration ComputingMethodologies_COMPUTERGRAPHICS Feature detection (computer vision) |
| Zdroj: | Scopus-Elsevier |
| Popis: | In the image stitching process, for existence of distortion in obtaining images using ordinary camera, or distortion caused by the camera optical axis, which perpendicular to the object, a stitching method based on SIFT feature matching for images with distortions was put forward in this paper. A distortion correction of the acquired image was executed before image stitching. Then, extract the SIFT feature points on the corrected image, match the feature points, and complete the image stitching in the end. Experimental results show that, the proposed method can reduce the ghosting effect of the mosaic image to a certain extent. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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