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Local features, all grown up

Abstract:

We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and normalized independently in training and test images, and jointly expand their domain as part of the correspondence process, akin to a (non-rigid) registration task that yields a (multi-view) segmentation of the object of interest from clutter, including the detection of occlusions. We show how our growth process can ...

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Publisher copy:
10.1109/CVPR.2006.176

Authors


Vedaldi, A More by this author
Journal:
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume:
2
Pages:
1753-1760
Publication date:
2006
DOI:
ISSN:
1063-6919
URN:
uuid:7be8852f-fb17-413a-87c5-b73f32174412
Source identifiers:
286193
Local pid:
pubs:286193
Language:
English

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