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Repeatability Performance Evaluation of Local Feature Detectors on Pyramid Images |
Yunsheng Zhang, Zhengrong Zou |
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Abstract To generate corresponding points for large size satellite, aerial or
high resolution close-range image, it is always needed to downscale
the original image to low resolution image via pyramid image
generating to detect local features. So this paper studies the
affection of the pyramid image on the repeatability performance of
the state-of-the-art local feature detectors. For generating pyramid
image with ground truth data, a method for calculating the
homography parameters between pyramid images of stereo pair with
homography parameters is proposed. Benchmark data sets with ground
truth are used to generate pyramid images and derive homography
parameters directly. Experiment results revealed that pyramid image
can reduce the affection of scale change and image distortion to
some extent.
DOI: 10.12733/jics20101623
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