34 results

Props Alive: A Framework for Augmented Reality Stop Motion Animation

Conference Proceeding
Casas, L., Kosek, M., & Mitchell, K. (2020)
Props Alive: A Framework for Augmented Reality Stop Motion Animation. In 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)https://doi.org/10.1109/SEARIS41720.2017.9183487
Stop motion animation evolved in the early days of cinema with the aim to create an illusion of movement with static puppets posed manually each frame. Current stop motion mov...

Photo-Realistic Facial Details Synthesis from Single Image

Conference Proceeding
Chen, A., Chen, Z., Zhang, G., Zhang, Z., Mitchell, K., & Yu, J. (2019)
Photo-Realistic Facial Details Synthesis from Single Image. In 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (9429-9439). https://doi.org/10.1109/ICCV.2019.00952
We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our technique employs expression ...

Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses

Journal Article
Casas, L., Fauconneau, M., Kosek, M., Mclister, K., & Mitchell, K. (2019)
Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses. Computers, 8(2), https://doi.org/10.3390/computers8020029
Shadow-retargeting maps depict the appearance of real shadows to virtual shadows given corresponding deformation of scene geometry, such that appearance is seamlessly maintain...

Real-time rendering with compressed animated light fields.

Conference Proceeding
Koniaris, B., Kosek, M., Sinclair, D., & Mitchell, K. (2017)
Real-time rendering with compressed animated light fields. In GI '17 Proceedings of the 43rd Graphics Interface Conference. , (33-40). https://doi.org/10.20380/GI2017.05
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....

Real-Time Multi-View Facial Capture with Synthetic Training

Journal Article
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. https://doi.org/10.1111/cgf.13129
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...

Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering

Journal Article
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, 36(8), 600-612. https://doi.org/10.1111/cgf.13155
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...

Rapid one-shot acquisition of dynamic VR avatars

Conference Proceeding
Malleson, C., Kosek, M., Klaudiny, M., Huerta, I., Bazin, J., Sorkine-Hornung, A., …Mitchell, K. (2017)
Rapid one-shot acquisition of dynamic VR avatars. In IEEE 2017 Virtual Reality (VR). https://doi.org/10.1109/vr.2017.7892240
We present a system for rapid acquisition of bespoke, animatable, full-body avatars including face texture and shape. A blendshape rig with a skeleton is used as a template fo...

Synthetic Prior Design for Real-Time Face Tracking

Conference Proceeding
McDonagh, S., Klaudiny, M., Bradley, D., Beeler, T., Matthews, I., & Mitchell, K. (2016)
Synthetic Prior Design for Real-Time Face Tracking. In 2016 Fourth International Conference on 3D Vision (3DV),. https://doi.org/10.1109/3dv.2016.72
Real-time facial performance capture has recently been gaining popularity in virtual film production, driven by advances in machine learning, which allows for fast inference o...

Real-time Physics-based Motion Capture with Sparse Sensors

Conference Proceeding
Andrews, S., Huerta, I., Komura, T., Sigal, L., & Mitchell, K. (2016)
Real-time Physics-based Motion Capture with Sparse Sensors. In Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016)https://doi.org/10.1145/2998559.2998564
We propose a framework for real-time tracking of humans using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units. A sm...

Pixel history linear models for real-time temporal filtering.

Journal Article
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. https://doi.org/10.1111/cgf.13033
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...