Practical Applications of Quantum Physics and How these Might Transform Society. A lecture on the fundamentals of quantum physics with hands-on demonstrations and a discussion of the potential impact of quantum technology on everyone’s life.
LEAP, the Linux-Equipped Astronauts Project, is a project to port to Linux those applications that the astronauts use on their laptops, so that each astronaut has a choice of operating systems. We know that several of the astronauts already use Linux at home, and would appreciate being able to use […]
2008: Density-controlled low-discrepancy sampling and meshing of 3D geometric models. The Nuffield Foundation, Undergraduate Research Bursary 35473. F. C. Langbein, K. S. Sullivan. £1,400.
Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise in 3D Laser Range Scanner Data. In: Proc. IEEE Conf. Shape Modelling and Applications, IEEE Computer Society, p. 37-45, 2008. [DOI:10.1109/SMI.2008.4547945] [PDF]
F. C. Langbein, M. Li, R. R. Martin. A Comment on ‘Constructing Regularity Feature Trees for Solid Models’. In: Advances in Geometric Modeling and Processing, Proc. Geometric Modelling and Processing, Springer LNCS, 4975:603, 2008. [DOI:10.1007/978-3-540-79246-8_53] [PDF]
Finlay N. McPherson, Jonathan A. Quinn, Jonathan Corney, Frank C. Langbein, Ralph R. Martin. Uniform Surface Point Sampling for Direct Write Applications.
2008: Quantum engineering – practical applications of quantum physics and how these might transform society. Welsh Assembly Government via the BA, National Science and Engineering Week. Lead: F. C. Langbein. £500.
M. Li, F. C. Langbein, R. R. Martin. Detecting Approximate Symmetries of Discrete Point Subsets. Computer-Aided Design, 40(1):76-93, 2008. [DOI:10.1016/j.cad.2007.06.007] [PDF]
Low-Discrepancy Sampling This is the PhD work of Jonathan Quinn about creating low-discrepancy sampling sequwnces of surfaces utilising space-filling curves. This has been applied to point-based rendering, remeshing and robotic painting (in collaboration with Jonathan Corney and Finlay McPherson). Jonathan’s supervisors are Frank Langbein and Ralph Martin.
The following software detect approximate regularities for design intent detection. It has been implemented on Linux in C++ (gcc 3.3) and Matlab using OpenCascade 5.2. Software for Approximate Regularity Detection If you use this code please cite one of these publications:
The following software constructs regularity feature trees for design intent detection. It has been implemented on Linux in C++ (gcc 3.3) and Matlab using OpenCascade 5.2. Melon.tar.gz If you use this code please cite one of these publications:
S. Liu, R. R. Martin, F. C. Langbein, P. L. Rosin. Segmenting Periodic Reliefs on Triangle Meshes. In: R. R. Martin, M. A. Sabin, J. J. Winkler (eds), Maths of Surfaces XII, Springer LNCS, 4647:290-306, 2007. [DOI: 10.1007/978-3-540-73843-5_18] [PDF]