Event cameras are bio‐inspired sensors that offer advantages over traditional cameras.
They operate asynchronously, sampling the scene at microsecond resolution and producing …

Intelligent robots need to recognize objects in their environment. This task is conceptually
different from the typical image classification task in computer vision. Robots need to …

Introduction: Advances in machine vision and mobile electronics will be accelerated by the
creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture …

The paper was devoted to the application of saliency analysis methods in the performance
analysis of deep neural networks used for the binary classification of brain tumours. We …

Coastline detection is vital for coastal management, involving frequent observation and
assessment to understand coastal dynamics and inform decisions on environmental …

Stereopsis has widespread appeal in robotics as it is the predominant way by which living
beings perceive depth to navigate our 3D world. Event cameras are novel bio-inspired …

The combined use of spiking neural networks and event cameras is gaining momentum in
the field of embedded computer vision as they promise to reduce latency and computational …

Some animals including humans use stereoscopic vision which reconstructs spatial
information about the environment from the disparity between images captured by eyes in …

Event driven cameras have the potential to revolutionise the real-time visual sensory
processing paradigm. These asynchronous sensors detect change in the environment with …

Figure-ground organisation is a mechanism of perceptual grouping that serves the detection
of objects and their boundaries, needed by any agent to interact with the environment …