[visionlist] CFP - Electronics Special Issue on Bioinspired Computer Vision

[Manuela Chessa]

[sorry for multiple posting]

Dear colleagues,
please find below the Call for Paper submission for a Special Issue on 
"Bioinspired Computer Vision" on Electronics (ISSN 2079-9292). This 
special issue belongs to the section "Computer Science & Engineering".

Guest Editor: Dr. Manuela Chessa - University of Genoa, Italy

*Deadline for manuscript submissions: 29 February 2020. *

Full details at:
https://www.mdpi.com/journal/electronics/special_issues/bioinspired_computer_vision

Contacts:
manuela.chessa at unige.it (Guest Editor)
stephanie.wang at mdpi.com (Assistant Editor)

===================================
Special Issue Information

Bioinspired computer vision approaches usually aim to replicate the 
results obtained by standard algorithms, by using neuromorphic 
paradigms. The performance obtained by bioinspired approaches is often 
lower than that of standard algorithms, both in terms of reliability of 
the results and in terms of speed. Today, there are many computer vision 
algorithms that are successfully applied in several fields, such as 
robotics, autonomous navigation, video surveillance, facial recognition, 
and, more recently, augmented reality. On the other hand, it is well 
known that biological vision systems are able to extract and analyze the 
information that is contained in complex, cluttered, and noisy 
environments, in order to solve vital tasks, such as navigating and 
recognizing shapes and persons, finding food, or escaping from danger. 
Biological visual systems are able to perform these tasks with both high 
sensitivity and strong reliability. Moreover, they are able to solve 
challenging computational problems, such as scene segmentation, local 
and global optical flow computation, 3D perception or extracting the 
meaning of complex objects or movements, in an efficient and quick manner.

The main aim of this Special Issue is to seek high-quality submissions 
that present and discuss the recent achievements in the development of 
bioinspired models for solving vision tasks, especially focusing on 
real-world complex situations and addressing modern benchmarking datasets.

The topics of interest include, but are not limited to the following:

-Bioinspired computer vision for motion and stereo analysis
-Bioinspired computer vision for scene understanding
-Bioinspired computer vision for face, gesture, and shape recognition
-Bioinspired computer vision for the real world: Robustness, learning, 
adaptability, self-assessment, and failure recovery
-Performance evaluation of bioinspired approaches
-Bioinspired computer vision for surveillance and security applications
-Bioinspired computer vision for virtual and augmented reality applications
-Hardware and high-performance implementations of bioinspired approaches
-Bioinspired computer vision and deep learning

Guest Editor: Dr. Manuela Chessa - University of Genoa, Italy

-- 
Manuela Chessa, PhD
Assistant Professor in Computer Science
University of Genova - Dept. of Informatics, Bioengineering, Robotics, and Systems Engineering

Via Dodecaneso 35, 16146 Genova - ITALY
Office: Valletta Puggia 3rd floor, room 329
Tel: +39 010 353 6663
URL: www.dibris.unige.it/en/chessa-manuela

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