Special Issue on Selected Papers from 25th ICPR in Machine Vision and Applications

Notification Due

Aug 15, 2021

Final Version Due

Sep 01, 2021

Submission Deadline

Mar 15, 2021

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Special Issue on Selected Papers from 25th ICPR – Computer Vision, Robotics and Intelligent Systems

in

Machine Vision and applications

The special issue will showcase the best submissions from Track 2 (Biometrics, Human Analysis and Behavior Understanding) and Track 3 (Computer Vision, Robotics and Intelligent Systems) of the 25th International Conference on Pattern Recognition (ICPR) for the proposed special issue.  The issue welcomes submissions independent from ICPR also alongside articles invited from ICPR.

Topics of ICPR 2021 under two tracks for consideration under this SI:

Track 2: Biometric systems and forensics applications:

hard biometrics: face, iris, gait, fingerprint, speech-based recognition

soft biometrics: skin, hair, facial and body measurements, behavior, facial expression-based recognition

multi-biometrics

closed set, open set, open world identity recognition

gesture, action and event recognition and tracking

human computer interaction: human body motion and gesture-based interaction, speech and natural language-based interaction

affective computing

pattern recognition for surveillance and security

Track 3: Computer Vision, Robotics and Intelligent Systems

early and low-level vision

physics-based vision and perceptual organization

stereo and multiple view geometry, 3D shape recovery

2D/3D object detection and recognition

motion, tracking and video analysis

deformable object tracking and registration

object recognition and manipulation

image and video analysis and understanding

vision for autonomous driving

vision for robotics, robot navigation and SLAM

Timeline:

Submission window opens: February 1st 2021

Submission Deadline: March 15th 2021

First Round decision: May 31st 2021

Revision Due: June 30th 2021

Final decision: August 15th 2021

Publication: upon acceptance papers are published in the current volume/issue

Guest Editors:

Michele Nappi, University of Salerno, Italy (mnappi@unisa.it)

Stefano Ricciardi, University of Molise, Italy (stefano.ricciardi@unimol.it)

Richard Guest, University of Kent, UK (R.M.Guest@kent.ac.uk)

Sambit Bakshi, National Institute of Technology Rourkela, India (sambitbaksi@gmail.com) (Managing / Lead GE)

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