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- W2369816881 abstract "Image mosaic is a technique used to make up a high resolution image with two or more images. In the process of image mosaic the features should be acquired and matched accurately. The SIFT algorithm is applied to acquire the feature points of the image. The paper is focused on the accurate matching of the acquired features. Two steps are need in eliminating the miss-missing feature points. 1) Getting a feature point in one image, and finding the nearest two feature points in the same image. A minor length can be obtained. In the same way, the distance can be calculated applying the matched points in the other image, and another minor length can also be gotten. When the minimum length value is divided by the other value, the answer is acquired. If the answer larger than the threshold, the matched feature points are considered as the accurate matched point. Thus, only parts of accurate matched points can be ensured. 2) For acquiring more accurate matched points, a further procedure should be performed. The calculating procedure is similar to the first one. However, the gotten feature point is the mismatched point, and the nearest two feature points are the accurate matched points. Furthermore, the value of the threshold is different from the first step. The experiment results show that the proposed method can eliminate the mismatch feature points effectively." @default.
- W2369816881 created "2016-06-24" @default.
- W2369816881 creator A5043719314 @default.
- W2369816881 date "2015-01-01" @default.
- W2369816881 modified "2023-09-23" @default.
- W2369816881 title "A Method for Accurate Matching of SIFT Features for Image Mosaic" @default.
- W2369816881 hasPublicationYear "2015" @default.
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