All Outputs (3)

A wide spectral range sky radiance model (2022)
Journal Article
Vévoda, P., Bashford-Rogers, T., Kolářová, M., & Wilkie, A. (2022). A wide spectral range sky radiance model. Computer Graphics Forum, 41(7), 291-298. https://doi.org/10.1111/cgf.14677

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)
Conference Proceeding
Singh, A. R., Bashford-Rogers, T., Hazra, S., & Debattista, K. (2022). Deep learning-based defect inspection in sheet metal stamping parts. In NUMISHEET 2022 Proceedings of the 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes (411-419). https://doi.org/10.1007/978-3-031-06212-4_38

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
Satilmis, P., Marnerides, D., Debattista, K., & Bashford-Rogers, T. (2022). Deep synthesis of cloud lighting. IEEE Computer Graphics and Applications, 42(5; 01 Sept.-Oct. 2022), 8 - 18. https://doi.org/10.1109/MCG.2022.3172846

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.