041-asift-a-new-framework-for-fully-affine-invariant-image-comparison
Science Score: 18.0%
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Low similarity (4.2%) to scientific vocabulary
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Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: Cuda
- Default Branch: main
- Size: 3.27 MB
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Metadata Files
Citation
https://github.com/SZU-AdvTech-2023/041-ASIFT-A-New-Framework-for-Fully-Affine-Invariant-Image-Comparison/blob/main/
## Usage ### Command Syntax ```shell ASIFT_CUDA [detectOption] [image1] [image2] [resultPath] ``` ### Options - `-origin` : Use original ASIFT. - `-openmp` : Use original ASIFT with OpenMP for parallel processing. - `-cudasift` : Replace SIFT in original ASIFT with CUDA-SIFT. - `-openmp_cudasift` : Use CUDA-SIFT with OpenMP. (Image may be split due to insufficient GPU memory) - `-rtg` : Run image rotate, tilt, and Gaussian blur on GPU. - `-rtg_cudasift` : Run image processing on GPU using CUDA-SIFT. - `-openmp_rtg_cudasift` : Image processing on GPU, using CUDA-SIFT and OpenMP. (Image may be split due to insufficient GPU memory) - `-npp_cudasift` : Image processing on GPU using Nvidia 2D Image and Signal Performance Primitives with CUDA-SIFT. ### Parameters - `[detectOption]` : Detection option as per above. - `[image1]` : Path to the first image. - `[image2]` : Path to the second image. - `[resultPath]` : Path for saving the output. ### Example ```shell ASIFT_CUDA -openmp_cudasift ./image1.jpg ./image2.jpg ./results/ ```
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@article{REPO041,
author = "Morel, Jean-Michel and Yu, Guoshen",
journal = "SIAM journal on imaging sciences",
number = "2",
pages = "438--469",
title = "{ASIFT: A New Framework for Fully Affine Invariant Image Comparison}",
volume = "2",
year = "2009"
}