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Relaxed matching kernels for robust image comparison

Abstract:

The popular bag-of-features representation for object recognition collects signatures of local image patches and discards spatial information. Some have recently attempted to at least partially overcome this limitation, for instance by "spatial pyramids" and "proximity" kernels. We introduce the general formalism of "relaxed matching kernels" (RMKs) that includes such approaches as special cases, allow us to derive useful general properties of these kernels, and to introduce new ones. As an e...

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Publisher copy:
10.1109/CVPR.2008.4587619

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Journal:
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
Publication date:
2008-01-01
DOI:
URN:
uuid:fc2b1759-b812-4011-87bb-34e9c6058007
Source identifiers:
292403
Local pid:
pubs:292403

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