March 2018

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05/03/2018 - 10:00 to 09/03/2018 - 16:00
 
05/03/2018 - 10:00 to 09/03/2018 - 16:00
 
05/03/2018 - 10:00 to 09/03/2018 - 16:00
 
05/03/2018 - 10:00 to 09/03/2018 - 16:00
 
05/03/2018 - 10:00 to 09/03/2018 - 16:00
 
 
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13/03/2018 - 12:00 to 13:00
 
 
 
 
 
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Events

13/02/2018 - 12:00

Yi Guo and Shelley Rawson title to be confirmed

07/02/2018 - 14:00

Hamish Carr University of Leeds. Semainar at Harwell campus - Time to be confirmed. 

Abstract: Visualisation supports the scientific workflow, often by providing qualitative evidence of the presence or absence of phenomena. More advanced forms of visualisation blend into analytical techniques that provide quantitative measurements, either of an entire data set, or of some region of interest inside it.  For this, the most typical approach is to extract a significant or representative isocontour, then to compute geometric properties inside it.  In 3D, these properties may include surface area, contained volume, mean and standard deviation, or any property integrable over the region, such as the function defining the isocontour in the first place. Reliable computation of these properties requires taking into account the underlying nature of integration, as well as of quantisation, gradient errors, geometric meshing artifacts, numerical errors and convergence properties. This talk will survey the set of geometric and integrable properties that can conveniently be extracted, and how to compute them using the isocontour’s value as a parameter for efficient extraction. Based on work with Brian Duffy & Torsten Moeller.

01/02/2018 - 14:00

Speaker: Dr. Joan Duran, Universitat de les Illes Balears, Department of Mathematics and Computer Science
Title: Collaborative Regularization Approaches in Multi-Channel Variational Imaging: Theory, Applications and Perspectives

Information: When dealing with color imaging problems, one of the main issues is how to couple channels in order to enable joint directions of smoothing. We propose to consider the gradient of a multi-channel image as a tensor, the smoothness of which is measured by taking different norms along the different dimensions (pixels, derivatives, channels). The resulting regularization framework is called collaborative total variation (CTV). We analyze theoretical properties of a large number of CTV models and show which of them are best suited for image denoising and other inverse problems. This has been a project in collaboration with Prof. Daniel Cremers from the Technical University of Munich and Prof. Michael Moller from the University of Siegen.

Dates for seminars: (30.01 (Tuesday) at RAL and) 1 February 2018 (Thursday) 2pm at Frank Adams 2, Alan Turing Building, University of Manchester. 

30/01/2018 - 14:00

Speaker: Dr. Joan Duran, Universitat de les Illes Balears, Department of Mathematics and Computer Science
Title: Collaborative Regularization Approaches in Multi-Channel Variational Imaging: Theory, Applications and Perspectives

Information: When dealing with color imaging problems, one of the main issues is how to couple channels in order to enable joint directions of smoothing. We propose to consider the gradient of a multi-channel image as a tensor, the smoothness of which is measured by taking different norms along the different dimensions (pixels, derivatives, channels). The resulting regularization framework is called collaborative total variation (CTV). We analyze theoretical properties of a large number of CTV models and show which of them are best suited for image denoising and other inverse problems. This has been a project in collaboration with Prof. Daniel Cremers from the Technical University of Munich and Prof. Michael Moller from the University of Siegen.

The proposed dates for seminars: 30.01 (Tuesday) at AVF RAL 2pm (and 01.02 (Thursday) at Manchester) 

29/01/2018 - 10:00
22/01/2018 - 10:00

Application deadline is 15th November 2017.

The course is designed for Post graduates and ECRs but is open to all. NERC funded students get priority but if spaces are left over, non-NERC applicants are considered. The primary focus will be centred around image analysis through a series of interactive lectures and practical sessions using the participant’s own data concerning computation of morphological parameters (porosity, tortuosity, connectivity, surfaces and others) . Each day is designed to build on the previous day’s knowledge and will end with a hackathon to draw on the key areas delivered throughout the week. Aspects of the course will be taught by leading external researchers as well as a range of NHM experts.

It is a 4-day course, fully funded by NERC. All expenses are covered to ensure little/no cost to the course delegates. There are a total of 15 places available. For further information on the course, its contents and associated learning outcomes, please visit the link below, where you will also find the course application form:

http://www.nhm.ac.uk/our-science/courses-and-students/short-course-featu...

22/01/2018 - 10:00

The 16th annual Bath-RAL NA Day will be held on Monday 22nd January at the Rutherford Appleton Laboratory. The speakers are:

Nick Gould (RAL)
Euan Spence (Bath)
Tim Davis (Texas A&M)
Sheehan Olver (Imperial)
Daniil Kazantsev (Manchester) - CCPi Flagship!
Sergey Dolgov (Bath)

Coffee will be available from 10.15am and the talks start at 10.50am; the full programme is available at http://www.numerical.rl.ac.uk/bath-ral/

All are welcome, and there is no registration fee for attendance.  Please register with Tyrone Rees (tyrone.rees@stfc.ac.uk) so that security passes can be arranged to allow you onto the RAL site.

19/01/2018 - 10:30

SIRF software items: 18th meeting software meeing - 15 December 2017 in Leeds 1pm; and 19th software meeting - 23 February 2018 in London. Also teleconferences sessions 10;30am-12noon fridays (24/11/17, 8/12/17, 22/12/17, 5/1/18 and 19/1/18). http://www.ccppetmr.ac.uk/node/112

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