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Kernel Local Descriptors with Implicit Rotation Matching

Andrei Bursuc 1 Giorgos Tolias 1 Hervé Jégou 1
1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
IRISA-D6 - MEDIA ET INTERACTIONS, Inria Rennes – Bretagne Atlantique
Abstract : In this work we design a kernelized local feature descriptor and propose a matching scheme for aligning patches quickly and automatically. We analyze the SIFT descriptor from a kernel view and identify and reproduce some of its underlying benefits. We overcome the quantization artifacts of SIFT by encoding pixel attributes in a continuous manner via explicit feature maps. Experiments performed on the patch dataset of Brown et al. [3] show the superiority of our descriptor over methods based on supervised learning.
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Contributor : Giorgos Tolias <>
Submitted on : Saturday, April 25, 2015 - 12:05:00 AM
Last modification on : Friday, March 6, 2020 - 1:15:41 AM
Document(s) archivé(s) le : Wednesday, April 19, 2017 - 6:19:28 AM


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  • HAL Id : hal-01145656, version 1


Andrei Bursuc, Giorgos Tolias, Hervé Jégou. Kernel Local Descriptors with Implicit Rotation Matching. ACM International Conference on Multimedia Retrieval, 2015, Shanghai, China. ⟨hal-01145656⟩



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