Feature-preserving detailed 3D face reconstruction from a single image
Conference Proceeding
Li, Y., Ma, L., Fan, H., & Mitchell, K. (2018)
Feature-preserving detailed 3D face reconstruction from a single image. In CVMP '18 Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Productionhttps://doi.org/10.1145/3278471.3278473
Dense 3D face reconstruction plays a fundamental role in visual media production involving digital actors. We improve upon high fidelity reconstruction from a single 2D photo ...
Image Based Proximate Shadow Retargeting
Conference Proceeding
Casas, L., Fauconneau, M., Kosek, M., Mclister, K., & Mitchell, K. (2018)
Image Based Proximate Shadow Retargeting. In Proceedings of Computer Graphics & Visual Computing (CGVC) 2018https://doi.org/10.2312/cgvc.20181206
We introduce Shadow Retargeting which maps real shadow appearance to virtual shadows given a corresponding deformation of scene geometry, such that appearance is seamlessly ma...
GPU-accelerated depth codec for real-time, high-quality light field reconstruction
Journal Article
Koniaris, B., Kosek, M., Sinclair, D., & Mitchell, K. (2018)
GPU-accelerated depth codec for real-time, high-quality light field reconstruction. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 1(1), 1-15. https://doi.org/10.1145/3203193
Pre-calculated depth information is essential for efficient light field video rendering, due to the prohibitive cost of depth estimation from color when real-time performance ...
From Faces to Outdoor Light Probes
Journal Article
Calian, D. A., Lalonde, J., Gotardo, P., Simon, T., Matthews, I., & Mitchell, K. (2018)
From Faces to Outdoor Light Probes. Computer Graphics Forum, 37(2), 51-61. doi:10.1111/cgf.13341
Image‐based lighting has allowed the creation of photo‐realistic computer‐generated content. However, it requires the accurate capture of the illumination conditions, a task n...
Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment
Journal Article
Pan, Y., Sinclair, D., & Mitchell, K. (2018)
Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment. Computer Animation and Virtual Worlds, 29(3-4), https://doi.org/10.1002/cav.1838
We present several mixed‐reality‐based remote collaboration settings by using consumer head‐mounted displays. We investigated how two people are able to work together in these...
Compressed Animated Light Fields with Real-time View-dependent Reconstruction
Journal Article
Koniaris, C., Kosek, M., Sinclair, D., & Mitchell, K. (2019)
Compressed Animated Light Fields with Real-time View-dependent Reconstruction. IEEE Transactions on Visualization and Computer Graphics, 25(4), 1666-1680. https://doi.org/10.1109/tvcg.2018.2818156
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....
IRIDiuM+: deep media storytelling with non-linear light field video
Conference Proceeding
Kosek, M., Koniaris, B., Sinclair, D., Markova, D., Rothnie, F., Smoot, L., & Mitchell, K. (2017)
IRIDiuM+: deep media storytelling with non-linear light field video. In SIGGRAPH '17 ACM SIGGRAPH 2017 VR Village. https://doi.org/10.1145/3089269.3089277
We present immersive storytelling in VR enhanced with non-linear
sequenced sound, touch and light. Our Deep Media (Rose 2012) aim
is to allow for guests to physically enter re...
Rich Pictures: understanding complexity through icons.
Presentation / Conference
Berg, T. (2012, September)
Rich Pictures: understanding complexity through icons. Presented at Operational Research (OR54) conference
Rich pictures are a powerful tool for understanding complexity. The rich picture is not only a tool to aid discussion and debate about problem situations. We claim that under...
Progressive skinning for video game character animations.
Conference Proceeding
Pilgrim, S. J., Aguado, A., Mitchell, K., & Steed, A. (2006)
Progressive skinning for video game character animations. . https://doi.org/10.1145/1179849.1179992