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- W2115439018 abstract "We address the problem of matching images with disparate appearance arising from factors like dramatic illumination (day vs. night), age (historic vs. new) and rendering style differences. The lack of local intensity or gradient patterns in these images makes the application of pixel-level descriptors like SIFT infeasible. We propose a novel formulation for detecting and matching persistent features between such images by analyzing the eigen-spectrum of the joint image graph constructed from all the pixels in the two images. We show experimental results of our approach on a public dataset of challenging image pairs and demonstrate significant performance improvements over state-of-the-art." @default.
- W2115439018 created "2016-06-24" @default.
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- W2115439018 date "2013-06-01" @default.
- W2115439018 modified "2023-10-14" @default.
- W2115439018 title "Joint Spectral Correspondence for Disparate Image Matching" @default.
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- W2115439018 doi "https://doi.org/10.1109/cvpr.2013.361" @default.
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