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Miller, M., Cumming, A., Chalmers, K., Kenwright, B. & Mitchell, K. (2013). Poxels: polygonal voxel environment rendering. In Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology - VRST '14, 235-236. doi:10.1145/2671015.2671125. ISBN 978-1-4503-3253-8
We present efficient rendering of opaque, sparse, voxel environments with data amplified in local graphics memory with stream-out from a geomery shader to a cached vertex buff...
Tsiros, A. (2013). Evaluating the Perceived Similarity Between Audio-Visual Features Using Corpus-Based Concatenative Synthesis. In Proceedings of the Internation Conference on New Interfaces for Musical Expression
This paper presents the findings of two exploratory studies. In these studies participants performed a series of image-sound association and detection tasks. The aim of the st...
Pilgrim, S. J., Aguado, A., Mitchell, K. & Steed, A. (2005). Progressive skinning for video game character animations. doi:10.1145/1179849.1179992. ISBN 1595933646
The DISTRO network brings together leading laboratories in Visual Computing and 3D Computer Graphics research across Europe with the aim of training a new generation of scientists, technologists, and ...
Scottish Funding Council
The solution for the synchronisation issue was to include a simultaneous animation of the journey and the weather data. This provided an intuitive visualisation of two independent sets of data.
Moon, B., Iglesias-Guitian, J. A., McDonagh, S. & Mitchell, K. (2017). Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering. Computer Graphics Forum. doi:10.1111/cgf.13155. ISSN 0167-7055
We propose a novel pre-filtering method that reduces the noise introduced by depth-of-field and motion blur effects in geometric
buffers (G-buffers) such as texture, normal an...
Koniaris, B., Kosek, M., Sinclair, D. & Mitchell, K. (in press). Real-time rendering with compressed animated light fields. Computers and Graphics. ISSN 0097-8493
We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion....
Klaudiny, M., McDonagh, S., Bradley, D., Beeler, T. & Mitchell, K. (2017). Real-Time Multi-View Facial Capture with Synthetic Training. Computer Graphics Forum. 36(2), 325-336. doi:10.1111/cgf.13129. ISSN 0167-7055
We present a real-time multi-view facial capture system facilitated by synthetic training imagery. Our method is able to achieve high-quality markerless facial performance cap...
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., …Novák, J. (2016). Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum. 35(4), 107-117. doi:10.1111/cgf.12954. ISSN 0167-7055
We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide ran...
Iglesias-Guitian, J. A., Moon, B., Koniaris, C., Smolikowski, E. & Mitchell, K. (2016). Pixel history linear models for real-time temporal filtering. Computer Graphics Forum. 35(7), 363-372. doi:10.1111/cgf.13033. ISSN 0167-7055
We propose a new real-time temporal filtering and antialiasing (AA) method for rasterization graphics pipelines. Our method
is based on Pixel History Linear Models (PHLM), a n...
Bradbury, G. A., Subr, K., Koniaris, C., Mitchell, K. & Weyrich, T. (2014). Guided ecological simulation for artistic editing of plant distributions in natural scenes. The Journal of Computer Graphics Techniques. 4(4)ISSN 2331-7418
In this paper we present a novel approach to author vegetation cover of large natural scenes. Unlike stochastic scatter-instancing tools for plant placement (such as multi-cla...
Subr, K., Nowrouzezahrai, D., Jarosz, W., Kautz, J. & Mitchell, K. (2014). Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination: error analysis of estimators. Computer Graphics Forum. 33(4), 93-102. doi:10.1111/cgf.12416. ISSN 0167-7055
We present a theoretical analysis of error of combinations of Monte Carlo estimators used in image synthesis. Importance sampling and multiple importance sampling are popular ...