Single-shot coded-aperture optical imaging physically captures a code-aperture-modulated
optical signal in one exposure and then recovers the scene via computational image …

The sustained growth of the world's population in the coming years will require an even
greater role for agriculture to meet the food needs of humankind. To improve the productivity …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

In this article we analyze the response of Time-of-Flight (ToF) cameras (active sensors) for
close range imaging under three different illumination conditions and compare the results …

We propose a two‐stage convolutional neural network (CNN) architecture for robust
recognition of hand gestures, called HGR‐Net, where the first stage performs accurate …

The objective of this study was to design a non-invasive system for the observation of
respiratory rates and detection of apnoea using analysis of real time image sequences …

Common Machine-Learning (ML) approaches for scene classification require a large
amount of training data. However, for classification of depth sensor data, in contrast to image …

The attention mechanisms in deep neural networks are inspired by human's attention that
sequentially focuses on the most relevant parts of the information over time to generate …

Abstract The Microsoft HoloLens is a head-worn mobile augmented reality device. It allows a
real-time 3D map** of its direct environment and a self-localisation within the acquired 3D …

We present an imaging framework that is able to accurately reconstruct multiple depths at
individual pixels from single-photon observations. Our active imaging method models the …