Geometric Modelling and Pattern Recognition Research Group (GMPR)
The Geometric Modelling and Pattern Recognition (GMPR) Research Group is part of the Communication and Computing Research Centre, and pursues original and exciting research in geometric modelling and pattern recognition with a major focus on
- fast 3D reconstruction from a single 2D shot using line projection
- 3D animation from video sequences
- parametrization of surfaces
- image registration
- multi-angle laser scattering modelling for micro-organism characterization
Our 3D technologies have been licensed to industry and we welcome inquiries on licensing and/or partnerships which are offered on flexible terms. In particular, we are exploring security applications (3D facial recognition), industrial inspection, medical engineering, and 3D reconstruction from video sequences to the film, games, and animation industries.
Funded by the Regional Development Agency, Yorkshire Forward, and by Sheffield Hallam University, we have developed and patented unique technologies for 3D surface scanning with a single, instantaneous shot. The system can use either structured white light or near infra-red and a version now exists for fast 3D facial acquisition and recognition. Our technologies support a range of applications such as multimedia graphics and animation, geometrical descriptions of 3D modelling software, verification of shape geometry in industrial processes, reverse engineering, medical prosthetics and rehabilitation, archaeology and archiving plus much more.
Funded by the prestigious UK Engineering and Physical Sciences Research Council (EPSRC) Life Sciences Interface, GMPR investigated modelling and pattern recognition techniques for particle characterization with applications to microbiology. We have patented unique sensing and characterization procedures based on light scattering patterns of angular dependency. Our technology supports a number of applications including monitoring water quality, brewery and beverage industries, clinical analysis, endospore characterization and many others.