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Systems, Methods, and Software Implementing Affine-Invariant Feature Detection Implementing Iterative Searching of an Affine Space
Systems, Methods, and Software Implementing Affine-Invariant Feature Detection Implementing Iterative Searching of an Affine Space
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机译:实现仿射不变特征检测的系统,方法和软件,实现仿射空间的迭代搜索
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摘要
Feature-matching methods for attempting to match visual features in one image with visual features in another image. Feature-matching methods disclosed progressively sample the affine spaces of the images for visual features, starting with a course sampling and iteratively increasing the density of sampling. Once a predetermined threshold number of unambiguous matches has been satisfied, the iterative sampling and matching can be stopped. The iterative sampling and matching methodology is especially, but not exclusively, suited for use in fully affine invariant feature matching applicants and can be particularly computationally efficient for comparing images that have large differences in observational parameters, such as scale, tilt, object-plane rotation, and image-plane rotation. The feature-matching methods disclosed can be useful in object/scene recognition applications. The disclosed methods can be implemented in software and various object/scene recognition systems.
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