Homepage of Ben Daubney

benContact Information:

Department of Computer Science
Swansea University
Singleton Park
Swansea SA2 8PP
United Kingdom

Email:       B.Daubney@swan.ac.uk

Twitter: @BenDaubney_CV


Current Research

new_button.gifI am shortly about to start a position here at Swansea developing algorithms for real-time interactive segmentation of medical volume data. The purpose of the work is to develop segmentation tools that are of use to medical practitioners and allow them greater control over how the segmentation is performed, this is in contrast to the current drive in Computer Vision to fully automate the entire process. The work is funded by National Institute for Social Care and Health Research (NISCHR) and is a partnership between the Research Institute of Visual Computing (RIVIC), the NHS in Wales and Aberystwyth, Bangor, Cardiff and Swansea Universities. The project page can be found here. I will be continuing to work on the project with Xianghua Xie.


I currently work as a Research Officer at Swansea University where I am funded as part of the Research Institute of Visual Computing, which is a collaboration between several universities across Wales. My current supervisor isXianghua Xie and our work focuses on how to model and represent greater uncertainty in vision problems. My feeling is that often we are forced to extract more information from weak observations than is really available, the result is that we often draw the wrong conclusion. For example in 3D pose estimation we will often attempt to extract a single solution when perhaps the available evidence (e.g. a binary silhouette) is ambiguous and not strong enough to achieve this. In these situations it is surely better to represent all possible solutions that an observation can explain until a time when more information becomes available. This raises two important questions: Firstly, how do we model uncertainty over a much larger volume of the solution space than is currently possible? Secondly, how do we update this model given a new set of observations without it becoming computationally inhibitive? It is these questions we are hoping to tackle in our current work.

About Me

I first undertook myundergraduate studies at Cardiff University where I gained a BSc in Astrophysics, following which I worked for a short period in the Astronomy Instrumentation Group based at the university.Deciding to take a change in direction I accepted a PhD studentship, funded under the EPSRC grant "Understanding Biological Motion using Moving Light Displays", at the University of Bristol studying the use of motion to extract 3D pose from a sequence of images. My supervisors on this project were Neill Campbell and David Gibson, I passed my viva and was awarded a PhD in November 2009.


Originally I grew up in the small North Devon village of Woolacombe, this is a popular surfing village and as such am quite a keen surfer. During my undergraduate degree and PhD I found less and less opportunity to go surfing, however, since moving to Swansea, which has some of the best surfing beaches in the UK, I have started to regularly get back in the water again. There are a few pictures etc on the following page Surfing. I also enjoy cycling and am a member of a local young walker club the Tawe Trekkers.


new_button.gifStar Proposal: Videos in Graphics and Visualization

R. Borgo, M. Chen, B. Daubney, E. Grundy, H. Jšnicke, Gunther Heidemann, M. Hoferlin, B. Hoferlin, D. Weiskopf, X. Xie. To appear in Computer Graphics Forum, 2012.


new_button.gifEstimating Pose of Articulated Objects using Low-Level Motion

Ben Daubney, David Gibson and Neill Campbell, to appear in a special issue of the Journal of Computer Vision and Image Understanding (CVIU) on Semantic Understanding of Human Behaviour in Image Sequence, Vol. 116, Issue 3, March 2012, Pg 330-346.



Entropy Driven Hierarchical Search for 3D Human Pose Estimation

Ben Daubney and Xianghua Xie, BMVC, 2011 (Oral acceptance rate 8%).



Tracking 3D Human Pose with Large Root Node Uncertainty

Ben Daubney and Xianghua Xie, CVPR, 2011.

pdf videos

Star Proposal: Videos in Graphics and Visualization

R. Borgo, M. Chen, B. Daubney, E. Grundy, H. Jšnicke, Gunther Heidemann, M. Hoferlin, B. Hoferlin, D. Weiskopf, X. Xie, Eurographics, 2011.

Estimating 3D Pose via Stochastic Search and Expectation Maximization

Ben Daubney and Xianghua Xie, Conference on Articulated Motion and Deformable Objects (AMDO), 2010. pdf


Estimating 3D Human Pose from Single Images using Iterative Refinement of the Prior

Ben Daubney and Xianghua Xie, ICPR, 2010. pdf††† poster


Using Low-Level Motion for High-Level Vision

Ben Daubney, PhD Thesis, University of Bristol, 2009. pdf


Monocular 3D Human Pose Estimation using Sparse Motion Features

Ben Daubney, David Gibson and Neill Campbell, IEEE Themis workshop - held in conjunction with ICCV, 2009. pdf



Real-Time Pose Estimation of Articulated Objects using Low-Level Motion

Ben Daubney, David Gibson and Neill Campbell, CVPR, 2008. pdfposter



fig5a, fig5e, fig6, fig7a, fig7e.


Estimating Gait Phase using Low-Level Motion

Ben Daubney, David Gibson and Neill Campbell, IEEE Workshop on Motion and Video Computing (WMVC) - IEEE Winter Vision Meetings, 2008. pdf


Using Low-Level Motion to Estimate Gait Phase

Ben Daubney, David Gibson and Neill Campbell, International Conference on Computer Vision Theory and Applications (VISAPP), 2008.


Extra Stuff

November 2010 - BVI Seminar: Invited to present current research to the Bristol Vision Institute. Seminar title " How to Robustly Track People using Weak Visual Cues".

April 2010 - RIVIC Graduate School: Part of the organizing committee for the RIVIC 2010 Graduate School held at Swansea University.

March 2010 - Discover! Workshop: This was an outreach workshop for 12 to 13 year old girls from the local area to promote and encourage woman into Science and Engineering. As well as helping on the day I gave a talk "Computer Vision: Getting Computers to Understand the Visible World".

October 2009 - BMVA Meeting on Articulated Motion: Presented my work on using Low-level Motion for Pose Estimation. Talk Summary is here



KLT implementation - Stan Birchfield's C implementation of the KLT feature tracker.

CImg Library - A C++ library used to display/manipulate images.

Netlab - A Matlab toolbox "designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models."


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