Projects per year
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.
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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.
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Projects
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0
Cosker, D., Campbell, N., Lutteroth, C., O'Neill, E. & Yang, Y.
Engineering and Physical Sciences Research Council
1/11/20 → 31/10/25
Project: Research council
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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.
2/12/19 → 1/12/22
Project: EU Commission
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Developing a sensitive new tool that reveals individual differences in facial emotion perception
1/07/19 → 31/12/22
Project: Research council
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The Rheumatoid Arthritis Flare Up Profiler
1/11/18 → 31/01/21
Project: Central government, health and local authorities
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Research Output
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A Non-Invasive Vision-Based Approach to Velocity Measurement of Skeleton Training
Evans, M., Needham, L., Colyer, S. & Cosker, D., 16 Jun 2020, p. 888-889.Research output: Contribution to conference › Paper
Open Access -
High-quality depth up-sampling via a supervised classification guided MRF model
Qiao, Y., Jiao, L., Tang, X., Li, W. & Cosker, D., 31 Oct 2020, In : Pattern Recognition Letters. 138, p. 315-320 6 p.Research output: Contribution to journal › Article
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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 AccessFile73 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 9090593Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
File17 Downloads (Pure)