Outputs (20)

A wide spectral range sky radiance model (2022)
Journal Article

Pre-computed models of sky radiance are a tool to rapidly determine incident solar irradiance in applications as diverse as movie VFX, lighting simulation for architecture, experimental biology, and flight simulators. Several such models exist, but m... Read More about A wide spectral range sky radiance model.

Deep learning-based defect inspection in sheet metal stamping parts (2022)
Presentation / Conference Contribution

Defect inspection is a crucial step in sheet metal stampingmanufacturing. However, current inspection methods largely consist of visual inspection by trained operatives but are unreliable and prone to error. Computer vision techniques have the potent... Read More about Deep learning-based defect inspection in sheet metal stamping parts.

Deep synthesis of cloud lighting (2022)
Journal Article

Current appearance models for the sky are able to represent clear sky illumination to a high degree of accuracy. However, these models all lack a common feature of real-skies: clouds. These are an essential component for many applications which rely... Read More about Deep synthesis of cloud lighting.

Ensemble metropolis light transport (2021)
Journal Article

This article proposes a Markov Chain Monte Carlo (MCMC) rendering algorithm based on a family of guided transition kernels. The kernels exploit properties of ensembles of light transport paths, which are distributed according to the lighting in the s... Read More about Ensemble metropolis light transport.

Deception in network defences using unpredictability (2021)
Journal Article

In this article, we propose a novel method that aims to improve upon existing moving-target defences by making them unpredictably reactive using probabilistic decision-making. We postulate that unpredictability can improve network defences in two key... Read More about Deception in network defences using unpredictability.

A fitted radiance and attenuation model for realistic atmospheres (2021)
Journal Article

We present a fitted model of sky dome radiance and attenuation for realistic terrestrial atmospheres. Using scatterer distribution data from atmospheric measurement data, our model considerably improves on the visual realism of existing analytical cl... Read More about A fitted radiance and attenuation model for realistic atmospheres.

Deep HDR hallucination for inverse tone mapping (2021)
Journal Article

Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas must be expanded and any missing information due to over/under-exposure... Read More about Deep HDR hallucination for inverse tone mapping.

Assessing a decision support tool for SOC analysts (2020)
Journal Article

It is difficult to discern real-world consequences of attacks on an enterprise when investigating network-centric data alone. In recent years, many tools have been developed to help understand attacks using visualization, but few aim to predict real-... Read More about Assessing a decision support tool for SOC analysts.

Per-pixel classification of clouds from whole sky HDR images (2020)
Journal Article

© 2020 Elsevier B.V. Accurately identifying cloud types in images has multiple uses from meteorological science to computer graphics, especially as clouds are a major factor influencing atmospheric radiative transport. Understanding which cloud types... Read More about Per-pixel classification of clouds from whole sky HDR images.

A quantum algorithm for ray casting using an orthographic camera (2020)
Presentation / Conference Contribution

Quantum computing has the potential to provide solutions to many problems which are challenging or out of reach of classical computers. There are several problems in rendering which are amenable to being solved in quantum computers, but these have ye... Read More about A quantum algorithm for ray casting using an orthographic camera.