(Tuesday) 14:00 - 15:00
Pam Liversidge Building, E08
Sir Frederick Mappin Bldg, Mappin St, Sheffield S1 3JD
Nick Pears "Automatic construction of 3D morphable models of the human head." Department of Computer Science, University of York, UK Abstract Morphable models of 3D surface shape have many applications in medical
“Automatic construction of 3D morphable models of the human head.”
Department of Computer Science, University of York, UK
Morphable models of 3D surface shape have many applications in medical image analysis, biometrics and creative media. Traditional model building pipelines have used manual landmarking to generate surface correspondences and initialise surface alignment procedures. However, this is extremely time-consuming and laborious for large-scale datasets. Here we present a fully automatic approach and apply it to a large dataset of 3D images of the human head, thus generating the first 3D morphable model of the full craniofacial region that models both shape and texture variation.
Our approach employs automatic 2D landmarking of the face, which is projected to 3D using the known 2D-to-3D registration generated by the image capture system. This facilitates normalisation of head pose to a canonical position, which matches that our template model. We then employ a hierarchical parts-based template morphing procedure, which is based on Coherent Point Drift. By morphing the same template to every 3D image in the dataset we achieve full surface vertex correspondence across the whole dataset. Generalised Procrustes Analysis is employed to place each scale-normalised template into a common alignment and subsequently Prinicipal Compenent Analysis is used to generate our statistical model. We demonstrate the ability of the model to represent a wide range of faces and we present a case study of the use of the model in the analysis of the pre- and post-operative cranial shape of a set of craniosynostosis patients.
Nick Pears was awarded both a BSc in Engineering Science and a PhD in Robotics (1990) by Durham University, UK. He then worked in the Robotics Research Group, University of Oxford and the Speech, Vision and Robotics Research Group (now Machine Intelligence Lab), University of Cambridge, where he was a fellow of Girton College. In 1998 he joined the Computer Science Department, University of York, UK, where he works as a Senior Lecturer (Associate Professor) in Computer Vision and Machine Learning, with emphasis on applications in 3D imaging, visual surveillance and visual human-computer interaction. Recently he coedited a graduate text on 3D Imaging, Analysis and Applications and was awarded a Senior Research Fellowship by the Royal Academy of Engineering and Leverhulme Trust for 3D craniofacial modelling. Currently, his work on 3D morphable models is supported by a Google Faculty Award.
(Wednesday) 09:30 - 16:30
Factory 2050, AMRC
Sheffield Business Park, Europa Avenue, Sheffield S9 1ZA
CLICK HERE FOR FREE REGISTRATION Meet researchers working on challenges where robots can work alongside humans: making manufacturing more flexible, allowing for bespoke manufacture, and creating more opportunities for split
Meet researchers working on challenges where robots can work alongside humans: making manufacturing more flexible, allowing for bespoke manufacture, and creating more opportunities for split operations (where humans and robots share tasks). This new and rapidly changing area will be key for industry to be flexible and responsive to changing consumer demands. Because these technologies are still in their infancy, we are giving companies an opportunity to shape research and to determine the type of challenges that need to be addressed.
Who should attend?
This workshop is aimed at senior and/or technical managers with an interest in adopting robots into their workplace. We expect there to be a wide variety of industry sectors represented, and this will be key to understand how we can work together to achieve a common goal.
What will the format be?
The day will include some short talks about the current state-of-the art, hands-on demonstrations with collaborative robots, a chance to contribute insights from your industry / company, and some time for networking.
What will participants get out of the day?
Participants can expect to understand current and future research, how it can change their workplace, and how to get involved; in addition, the organisers will provide an opportunity to get involved in shaping the research in Sheffield Robotics, and share information about relevant funding. This event is a springboard to start new collaborations, and we need industry input to make sure the work is relevant and timely.
This event is free, and Sheffield Robotics would be happy to discuss specific challenges with individual companies as a follow-up to the workshop.
(Tuesday) 14:00 - 15:00
Pam Liversidge Building, F12
Michael Fisher "Responsible Autonomy" Professor of Computer Science at the University of Liverpool Abstract Autonomous systems must make their own decisions, often without direct human control. But can
Professor of Computer Science at the University of Liverpool
Autonomous systems must make their own decisions, often without direct human control. But can we be sure that these systems will always make the decisions we would want them to? In this talk I will examine high-level decision-making in autonomous systems, the formal verification of this decision-making, and the impact of this verification on safety, legality, ethics, etc.
Director of the cross-disciplinary Centre for Autonomous Systems Technology at the University of Liverpool (www.liv.ac.uk/cast);
Leads the EPSRC Network on the Verification and Validation of Autonomous Systems (vavas.org);
Member of British Standards Institution committee on Robots and Robot Safety (particularly involved in standard on Robot Ethics);
Member of IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems.