Darren Cosker

Personal profile

Research interests

Research interests are in the convergence of Computer Graphics, Animation, Computer Vision and Psychology. I am particularly interested in applying these fields to the development of virtual humans, human realistic facial animation, motion planning and behavioural modelling.

Fingerprint Dive into the research topics where Darren Cosker is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

9 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

1 Not started
5 Active
10 Finished

CAMERA MC2 Award

Cosker, D., Campbell, N., Fincham Haines, T., Hall, P., Li, W., Lutteroth, C., O'Neill, E., Richardt, C., Yang, Y. & Parsons, M.

EU - Horizon 2020

2/12/19 → 1/12/22

Project: EU Commission

Developing a sensitive new tool that reveals individual differences in facial emotion perception

Cosker, D.

Medical Research Council

1/07/19 → 31/12/22

Project: Research council

The Rheumatoid Arthritis Flare Up Profiler

Cosker, D. & Campbell, N.

Innovate UK

1/11/18 → 31/07/20

Project: Central government, health and local authorities

AHRC Creative cluster

Cosker, D.

AHRC

1/10/18 → 31/03/23

Project: Research council

Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)

Cosker, D., Campbell, N., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., O'Neill, E., Richardt, C. & Yang, Y.

Engineering and Physical Sciences Research Council

1/09/15 → 28/02/21

Project: Research council

Research Output

24 Conference contribution
21 Article
12 Paper
6 Chapter
9 More

RGBD-Dog: Predicting Canine Pose from RGBD Sensors

Kearney, S., Li, W., Parsons, M., Kim, K. I. & Cosker, D., 30 Mar 2020, (Acceptance date).

Research output: Contribution to conference › Paper

Open Access

File

44 Downloads (Pure)

Towards An Egocentric Framework for Rigid and Articulated Object Tracking in Virtual Reality

Taylor, C., McNicholas, R. & Cosker, D., 26 Mar 2020, Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces. IEEE, p. 354-359 9090593

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Using Computer Vision and Deep Learning Methods to Capture Skeleton Push Start Performance

Needham, L., Evans, M., Cosker, D. & Colyer, S., 2 Mar 2020.

Research output: Contribution to conference › Abstract

File

8 Downloads (Pure)

Multi-character Motion Retargeting for Large-Scale Transformations

Naghizadeh, M. & Cosker, D., 12 Jun 2019, Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings: Advances in Computer Graphics. Gavrilova, M., Chang, J., Thalmann, N. M., Thalmann, N. M., Hitzer, E. & Ishikawa, H. (eds.). Springer Verlag, p. 94-106 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11542 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

File

67 Downloads (Pure)