1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchSimon Winderhttps://www.microsoft.com/en-us/research/people/swinder/Picking the Best Daisy - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="vtZ11ruGmb"><a href="https://www.microsoft.com/en-us/research/publication/picking-the-best-daisy/">Picking the Best Daisy</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/picking-the-best-daisy/embed/#?secret=vtZ11ruGmb" width="600" height="338" title="“Picking the Best Daisy” — Microsoft Research" data-secret="vtZ11ruGmb" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Local image descriptors that are highly discriminative, computational efficient, and with low storage footprint have long been a dream goal of computer vision research. In this paper, we focus on learning such descriptors, which make use of the DAISY configuration and are simple to compute both sparsely and densely. We develop a new training set […]