Call for Papers


Special issue on “Robust local descriptors for computer vision”

To be published in the journal of Neurocomputing (SCI Impact Factor: 2.005)




Submission Deadline:  January 1, 2015 January 22, 2015 (Extension)

First notification:  April 1, 2015, April 15, 2015

Revisions of Submissions:  May 15, 2015, June 3, 2015

Final Decision:  July 1, 2015, July 15, 2015

Production process (online publication):  November 1, 2015 (tentative)


We encourage researchers to develop new robust local descriptors to extract useful feature representations. We are soliciting original contributions that address a wide range of theoretical and practical issues including, but not limited to:

  1. New local descriptors robust to noise, illuminations, scale, rotations and occlusions,
  2. New applications of local descriptors in different domains, e.g. medical domain,
  3. Other application in different  domain, such as one dimension (1D) digital signal processing, 2D images, 3D videos and 4D videos,
  4. Evaluations of current local descriptors.
  5. Evaluations between the features learned by deep learning and the traditional descriptors (e.g., LBP, SIFT, HOG)

Editor in Chief

Tom Heskes

Professor, Radboud University Nijmegen

Guest Editors


1.      Paper submission is now open

2.      The authors will submit full length papers (Neurocomputing format) on-line, including (1) Title of paper & short abstract summarizing the main contribution, (2) Names and contact info of all authors, also specifying the contact author, (3) Contributions must be written and presented in English, and (4) The paper in PDF format.

3.      All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select as SI: Robust local descriptors when they reach the Article Type step in the submission process. Papers can be submitted via the online submission system for Neurocomputing ( Preparation of the manuscript must follow the Guide for Authors which is available there.



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