IET CV: Local Image Descriptors in Computer Vision Call for Papers

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            Call for Papers -- special issue
  of the international journal IET Computer Vision on

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      Local Image Descriptors in Computer Vision
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Local image descriptors are involved in a multitude of relevant computer
vision tasks dealing with point correspondences among several images,
from registration through detection to classification. This has ensured
that local image descriptors remained an evergreen topic through the
years, up to the modern solutions and challenges arising from deep
learning advances, big data and hardware improvements. This special
issue will provide the computer vision community with the opportunity
to systematically collect and share the latest developments and trends
on this active research field. It will also offer scientists the chance
to propose original ideas and uncommon approaches, out of the mainstream
ones, and open to unexplored research directions.

Topics include, but are not limited to:
- recent advances in local image detector and descriptor design
- handcrafted vs deep and general data-driven local descriptors
- time and storage efficient descriptor solutions
- local image descriptors for large-scale scenarios
- enhanced matching with statistical and spatial constraints
- uncommon and innovative applications of local descriptors
- deep local descriptors interpretation and visualization
- descriptor evaluation, new benchmark protocols and datasets

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   Submission Deadline: 1 August 2019
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Submit your paper to manuscript submission and peer review site via
the following link:

            >>>>>> www.ietdl.org/IET-CVI <<<<<<

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 Editor-in-Chief
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Majid Mirmehdi, University of Bristol, UK

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 Guest Editors
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Carlo Colombo, University of Florence, Italy
Fabio Bellavia, University of Florence, Italy

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Pdf flyer of the call for special issue
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https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf