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Oct 4, 2009 · To achieve our purpose, we adopt the scale invariant feature transform (SIFT) as the criterion of the optimal image resolution. Finally, we ...
We compute the SIFT feature of the template and the input image and use them for an estimation of the optimal image resolution.
We have proposed new criterion by using the SIFT feature, the normalized correlation and the MSE. Finally we have confirmed that our proposed method is useful ...
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Dec 5, 2016 · There is an optimal size for images used with SIFT in object recognition? ... with the image pyramid builded by the 1920 x 1080 resolution Image.
Missing: Criterion | Show results with:Criterion
An image matching algorithm is presented in this paper. A set of interest points known as SIFT features are computed for a pair of images.
In this paper, the performance of the SIFT matching algorithm against various image distortions such as rotation, scaling, fish eye and motion distortion are ...
Oct 25, 2024 · The major advantage of SIFT features, over-edge features, or HOG features is that they are not affected by the size or orientation of the image.
Missing: optimal | Show results with:optimal
The proposed competency criterion is based on a weighted ranking process using three quality measures, including robustness, spatial saliency and scale ...
Missing: optimal | Show results with:optimal
Sep 21, 2022 · The SIFT image is created with the SIFT descriptors for all the pixels of the grayscale image. Therefore, the SIFT image has the same spatial ...
The sharp boundary in (d) suggests that SIFT images have high resolutions. representation that consists of both feature extraction and detection. In this paper, ...