Brain-Inspired Computer Vision

Dear Colleagues,

Visual perception and analysis in mammal, and especially the primate visual system, is a complex process performed by the various elements of the brain. After the pioneering experiments of Hubel and Wiesel (1962), the visual cortex has been used as a source of inspiration for developing algorithms that can be applied in computer vision tasks, such as finding objects, analyzing motion, identifying or detecting instances, reconstructing scenes or restoring images. One of the most challenging goals in computer vision is, therefore, to design and develop algorithms that can process visual information as humans do.

The main aim of this Special Issue is to bring together researchers from the diverse fields of computer science (computer and robot vision, pattern recognition, machine learning, artificial intelligence, high performance computing and visualization) who aim to model different phenomena of the visual system of the brain. We look forward to receiving the current and next generation of brain system modelling for a wide range of vision related applications. This Special Issue aims to comprise powerful, innovative and modern image analysis algorithms and tools inspired by the function and biology of the visual system of the brain.

Besides the technologies used, emphasis will be given to the precise problem definition, the available benchmark databases, the need of evaluation protocols and procedures in the context of brain-inspired computer vision methods and applications.

Papers are solicited in, but not limited to, the following topics:

• Mathematical models of visual perception.
• Brain-inspired algorithms.
• Learning: Deep learning, recurrent networks, differentiable neural computers, sparse coding.
• The appearance of neuronal properties: Sparsity and selectivity.
• Selecting where to look: Saliency, attention and active vision.
• Hierarchy of visual cortex areas.
• Feedforward, feedback and inhibitory mechanisms.
• Neuromorphic computing.
• Applications: Object recognition, object tracking, medical image analysis, contour detection and segmentation, interactions between vision and other aeras (e.g., pre-grasping, motor areas) depth and motion analysis.

Dr. Alessia Saggese
Dr. Antonio Rodríguez-Sánchez
Dr. George Azzopardi
Guest Editors

Manuscript Submission Information

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