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<div class="moz-text-flowed" style="font-size: 12px;"
lang="x-western"><tt> !!! D E A D L I N E A P P R O A C H I
N G !!! </tt><tt><br>
</tt><tt> !!! 7 D A Y S L E F T !!! </tt><tt><br>
</tt> <tt><br>
</tt><tt>********************************************************
</tt><tt><br>
</tt><tt> Apologies for multiple posting </tt><tt><br>
</tt><tt> Please distribute this call to interested parties </tt><tt><br>
</tt> <tt><br>
</tt><tt>********************************************************
</tt><tt><br>
</tt> <tt><br>
</tt><tt> Call for Papers -- special issue </tt><tt><br>
</tt><tt> of the international journal IET Computer Vision on </tt><tt><br>
</tt> <tt><br>
</tt><tt> ---------------------------------------------- </tt><tt><br>
</tt><tt> Local Image Descriptors in Computer Vision </tt><tt><br>
</tt><tt> ---------------------------------------------- </tt><tt><br>
</tt> <tt><br>
</tt><tt>Local image descriptors are involved in a multitude of
relevant computer </tt><tt><br>
</tt><tt>vision tasks dealing with point correspondences among
several images, </tt><tt><br>
</tt><tt>from registration through detection to classification.
This has ensured </tt><tt><br>
</tt><tt>that local image descriptors remained an evergreen topic
through the </tt><tt><br>
</tt><tt>years, up to the modern solutions and challenges arising
from deep </tt><tt><br>
</tt><tt>learning advances, big data and hardware improvements.
This special </tt><tt><br>
</tt><tt>issue will provide the computer vision community with the
opportunity </tt><tt><br>
</tt><tt>to systematically collect and share the latest
developments and trends </tt><tt><br>
</tt><tt>on this active research field. It will also offer
scientists the chance </tt><tt><br>
</tt><tt>to propose original ideas and uncommon approaches, out of
the mainstream </tt><tt><br>
</tt><tt>ones, and open to unexplored research directions. </tt><tt><br>
</tt> <tt><br>
</tt><tt>Topics include, but are not limited to: </tt><tt><br>
</tt><tt>- recent advances in local image detector and descriptor
design </tt><tt><br>
</tt><tt>- handcrafted vs deep and general data-driven local
descriptors </tt><tt><br>
</tt><tt>- time and storage efficient descriptor solutions </tt><tt><br>
</tt><tt>- local image descriptors for large-scale scenarios </tt><tt><br>
</tt><tt>- enhanced matching with statistical and spatial
constraints </tt><tt><br>
</tt><tt>- uncommon and innovative applications of local
descriptors </tt><tt><br>
</tt><tt>- deep local descriptors interpretation and visualization
</tt><tt><br>
</tt><tt>- descriptor evaluation, new benchmark protocols and
datasets </tt><tt><br>
</tt> <tt><br>
</tt><tt>**************************************** </tt><tt><br>
</tt><tt> Submission Deadline: 1 August 2019 </tt><tt><br>
</tt><tt>**************************************** </tt><tt><br>
</tt> <tt><br>
</tt><tt>Submit your paper to manuscript submission and peer
review site via </tt><tt><br>
</tt><tt>the following link: </tt><tt><br>
</tt> <tt><br>
</tt><tt> >>>>>> </tt><tt><a
class="moz-txt-link-abbreviated"
href="http://www.ietdl.org/IET-CVI" moz-do-not-send="true">www.ietdl.org/IET-CVI</a></tt><tt>
<<<<<< </tt><tt><br>
</tt> <tt><br>
</tt><tt>----------------- </tt><tt><br>
</tt><tt> Editor-in-Chief </tt><tt><br>
</tt><tt>----------------- </tt><tt><br>
</tt><tt>Majid Mirmehdi, University of Bristol, UK </tt><tt><br>
</tt> <tt><br>
</tt><tt>---------------- </tt><tt><br>
</tt><tt> Guest Editors </tt><tt><br>
</tt><tt>---------------- </tt><tt><br>
</tt><tt>Carlo Colombo, University of Florence, Italy </tt><tt><br>
</tt><tt>Fabio Bellavia, University of Florence, Italy </tt><tt><br>
</tt> <tt><br>
</tt><tt>---------------------------------------- </tt><tt><br>
</tt><tt>Pdf flyer of the call for special issue </tt><tt><br>
</tt><tt>---------------------------------------- </tt><tt><br>
</tt><tt><a class="moz-txt-link-freetext"
href="https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf"
moz-do-not-send="true">https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf</a></tt><tt>
</tt><tt><br>
</tt> <tt><br>
</tt></div>
<tt> </tt>
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