of Computer Science
Swansea SA2 8PP
†I 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 is† Xianghua 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.
I first undertook my† undergraduate 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.
†Star Proposal: Videos in Graphics and
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.
†Estimating Pose of Articulated Objects using
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
Ben Daubney and Xianghua Xie, BMVC, 2011
(Oral acceptance rate 8%).
Tracking 3D Human Pose with Large Root Node
Ben Daubney and Xianghua Xie, CVPR, 2011.
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,
Estimating 3D Pose
via Stochastic Search and Expectation Maximization
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
Daubney and Xianghua Xie, ICPR, 2010. pdf††† poster
Motion for High-Level Vision
Ben Daubney, PhD Thesis, University of
Bristol, 2009. pdf
Monocular 3D Human
Pose Estimation using Sparse Motion Features
Daubney, David Gibson and Neill Campbell, IEEE Themis workshop - held in
conjunction with ICCV, 2009. pdf†
Estimation of Articulated Objects using Low-Level Motion
Daubney, David Gibson and Neill Campbell, CVPR, 2008. pdf† poster
fig5a, fig5e, fig6, fig7a, fig7e.
Estimating Gait Phase
using Low-Level Motion
Daubney, David Gibson and Neill Campbell, IEEE Workshop on Motion and Video
Computing (WMVC) - IEEE Winter Vision Meetings, 2008. pdf
Motion to Estimate Gait Phase
David Gibson and Neill Campbell, International Conference on Computer Vision
Theory and Applications (VISAPP), 2008.
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
Netlab - A Matlab toolbox "designed to provide
the central tools necessary for the simulation of theoretically well founded
neural network algorithms and related models."